This paper presents an analysis of the variation of energy consumption in the lamination and drawing process of bagel doughs. Also, the paper highlights the farinographic characteristics (water absorbtion, dough develpomnet time, dough stability, degree of dough softening and farinographic index) of the floour used for the dough preparation for which the energy consumption during lamination and drawing was determined

The utilization of unmanned aerial vehicles (UAVs) for chemical application has become a topic of great interest to both researchers and the market in recent times. Producers have proposed the use of drones for joint spraying as a means of enhancing precision agriculture and productivity. However, chemical spraying is a highly specialized field where the quality of the spray is critical so the used UAV have to be precise and reliable. Within this paper will be presented the process of developing a tricopter-hexarotor chassis type UAV, electrically driven, fitted with a 66 litres tank and 6 anti-drift nozzles which will be used for precision spraying of agricultural crops based on preprogrammed flying missions.

Taking into account the physicochemical properties of soil and the complexity of adhesion interface, how to improve the soil adhesion on the mechanical surface is a crucial technical issue. In order to lower the increasing resistance caused by soil adhesion on the surface of a digging shovel in potato harvesting, a potato digging shovel with a non-smooth surface structure was designed based on bionics theory. Based on testing physical and mechanical properties of soil, a soil groove model corresponding to soil physical properties and particle model physical properties was established through a combination of simulation and physical tests, and a simulation test for evaluating the drag reduction performance was conducted. The simulation comparison test results show that the performance of the bionic digging shovel is better than that of the traditional potato digging shovel, regardless of whether the broken soil rate or the working resistance is reduced, and the soil adhered to the mechanical surface can be effectively reduced by 93.3%. The research results can provide ideas and methods for solving the adhesion problem between machinery and soil.

In this paper, a small pneumatic vegetable precision seeder suitable for facility greenhouses was designed. Based on the traditional positive and negative pressure seed-metering device, the airway disc structure was designed, and the negative pressure air chamber was divided into three separate air chambers. The separate air chambers could solve the problems of high-pressure requirements of traditional seed-metering device with large air chamber and suitable for small power machineries more. One, two, or three rows drill can be completed by replacing the seed plate and divider. The seed discharge process of the seed-metering device was analyzed and the bench test was performed. Results showed that the required pressure of the seed-metering device with the airway disk was 1 kPa less than traditional seed-metering device with large air chamber when the eligible rate of seed discharge was 95%. Field experiments were performed, results showed that the best performance were achieved under the speed of 3 km/h, for 3.72 % missed, 1.93% repeat and 94.35 % of inner ring, and 5.72%, 1.87% and 92.41% respectively of outer, meeting the requirements for vegetable seeding.

Castor is one of the important oil crop, the shelling process of which directly affects the quality of castor seeds. In the process of shelling, the shelling force of castor is an important index to study its damage. The castor capsule model was established and the shelling test machine was established based on the discrete element method. Then the extrusion law of castor capsule during shelling was analyzed. The shelling process is divided into three stages, which are the Initial stage, stable shelling stage and the final stage. The force law of shelling process is analyzed. The results show that with the increase of rotating speed, the maximum force decreases from 68.78 to 68.10 N, the maximum speed increases from 8.92 to 12.99 m/s, the force of inner drum increases from 509.34 to 533.14 N, and then decreases to 456.15 N. The shelling increases from 91.23% to 91.28%, and then decreases to 88.89%. With the increase of filling amount, the maximum force increases from 55.86 to 76.93 N, the maximum speed decreases from 12.99 to 10.86 m/s, the force of inner drum increases from 338.58 to 603.364 N, and the shelling rate changes from 91% to 90.05%. This study can provide theoretical support for the design of castor shelling machine.

The paper presents the results of research on film biocomposites made of thermoplastic starch (TPS) and various types of nut shells. The research involved the use of thermally treated nut shells: hazelnuts, pistachios, walnuts and peanuts. TPS biocomposites were produced by the pour method using non-adherent moulds. The obtained samples were used to test the basic physical properties used in testing biodegradable materials. The following parameters were determined: mechanical strength, colour and colour difference, water contact angle, moisture absorption from water and atmospheric air. Images of biocomposite fractures were also taken using a scanning electron microscope (SEM). It was found that the addition of nut shells enabled the production of homogeneous materials and contributed to the improvement of their strength parameters. The research showed that nut shells can be a prospective raw material for the production of innovative biodegradable materials.

Maize is one of the characteristic species in Shanxi Province. It has strong drought and cold tolerance. The study of maize growth and development law through the construction of the model is helpful to accurately understand the growth characteristics of maize, improve the yield, and further provide an important theoretical basis for the realization of precision agriculture. In this paper, "Xianyu 335" maize was taken as the research object. The data of leaf length, leaf width, stem length, stem number and tassel length, as well as leaf, stem, tassel, ear, cob and root organ morphology and biomass of maize during the whole growth period were obtained by field experiment. The maize geometric form structure module was constructed. The dynamic simulation of maize growing process was realized by object-oriented programming in Visual Studio software platform. With the help of 3D OpenGL graphic library Nurbs (Non-Uniform Rational B-Splines) curve and surface simulation technology, the growth visualization of maize organs was realized based on the idea of curve and surface control point selection parameter modeling.

Increasing the productivity of machine tractor units when cultivating the field is achieved by reducing the work time, which usually relates to seeking the shortest path of the unit in the field. Reducing the length of headland turns, which account for the largest proportion of the unit non-working moves, will result in higher productivity as well as less soil compaction in the headland. The article presents an algorithm for selection of a turn in the headland of a field of irregular shape. Existing theoretical correlations have been used to determine the length of the non-working move and the headland width when making T-turns. The selection of a turn is made on the basis of the minimum length of the non-working move, after which the width of the needed headland for the selected turn is calculated. This algorithm can be added to the on-board computer of the unit thus providing a more efficient way of moving, automatically generating a headland and following the trajectory of the selected turn by the unit.

This research presents a thermodynamic analysis of a Thermal LTC-10 single-effect absorption series cooling system using the water/LiBr pair. Four operating scenarios were modeled on an hourly basis (24h) with EES software using mass and energy balances and the environmental conditions of the city of Barranquilla, Colombia. The analysis of the results shows that the system powered only by solar energy obtains the highest COP between 8:00 and 16:00 hours and the lowest greenhouse gas (GHG) emissions, while the system powered by rice husk biogas presents stable operation throughout the day and higher SO2eq emissions.

In order to realize the rapid and accurate identification of different maturity of Cerasus humilis fruit, this study explored the nondestructive testing method of Cerasus Humilis fruit maturity based on hyperspectral imaging technology. The hyperspectral data of 320 samples of Cerasus humilis fruit were collected by using a hyperspectral imaging system in the range of 895~1700 nm. By comparing the prediction accuracy of the partial least squares (PLS) model established by four preprocessing methods, the competitive adaptive reweighted algorithm (CARS), successive projection algorithm (SPA), and random frog (RF) were used to extract characteristic wavelengths, and partial least squares-discriminant analysis (PLS-DA) and least squares-support vector machine (LS-SVM) discriminant models were established. The results showed that the SPA-LS-SVM model had the highest discrimination accuracy for the four types of maturity samples, and the discrimination accuracy of the correction set and prediction set were 85.00% and 87.50%, respectively. This study provides a theoretical reference for the rapid and nondestructive testing of the maturity of Cerasus Humilis fruit by hyperspectral imaging technology.

Body size of pigs is an important evaluation indicator in pig breeding. The traditional method of body size measurement is usually in manual way, which requires more employees and causes stress reactions of pigs. In response to the shortcomings of the traditional methods, this paper designed a system for measuring the body size of pigs based on stereo vision. The point cloud of both the calibration object and the pig was collected using dual KinectV2 cameras. Pre-processing was conducted using filtering and random sample consensus to remove background noise from the point clouds. As there was limited overlap between the two sides of the point clouds, the rotation matrix obtained from registering the calibration object was applied to the pig point clouds. Curve fitting and slicing were then utilized to measure the pigs body dimensions, including length, width, height, and abdominal circumference. The results of the study indicated that the mean absolute percentage error (MAPE) was 2.13% for body length, 1.02% for body width, 1.05% for body height, and 2.21% for abdominal girth. These results demonstrate the high accuracy and practical production value of the system.

The contact parameters setting determines the accuracy of discrete element method (DEM) simulation analysis, while there is a lack of research on contact parameters of green onion seed. In this paper, the physical parameters of green onion seeds were measured by experiment, and the DEM parameters were calibrated by simulation. Based on EDEM software, the Hertz-Mindlin no-slip model was used to create the particle model of green onion seeds that takes on the shape of peltate with the irregular surface, and the repose angle was measured by the measurement method of lifted cylinder. Plackett-Burman test was designed to screen the significance of parameters, and the optimal range of significance parameters was further determined through the steepest climbing test. Then the regression model of seeds repose angle was obtained by Box-Behnken test and the optimal parameter combination was calculated: the static friction factor between seeds was 0.424, the rolling friction factor was 0.085, the static friction factor between seeds and steel was 0.310. The optimized repose angle in the simulation had an overall relative error of 0.54%, indicating that the contact parameters of the calibrated green onion seed had high accuracy.

To explore the application of traditional machine learning model in the intelligent management of pigs, in this paper, the influence of the PCA pre-treatment on pig face identification with KNN is studied. With testing method, individual identification test was carried out on 10 different pigs in two testing schemes, in which one adopted KNN alone and the other adopted PCA + KNN, for which the classifier parameter was taken as 3 and 5, respectively. In the optimized scheme, the operating efficiency got significantly increased, also the training time and testing time were reduced to 4.8% and 7% of the original value in the KNN alone scheme, though the accuracy got lowered to a certain extent. With all these factors taken into consideration, PCA pre-treatment is beneficial to individual pig identification with KNN. It can provide experimental support for mobile terminals and embedded application of KNN classifiers.

In order to meet the precision seeding of small seeds including millet and broomcorn millet in hilly and mountainous areas, a single-row small grain precision seeder was developed. Static seeding test and seeding test were carried out on the seeder. In this paper, the key parts such as socket wheel-ring groove seed metering device, transmission system and tensioning wheel are designed. The working parts such as arrow shovel furrow opener, plastic seed tube and hollow cast iron press wheel were selected to achieve seed metering. The seed metering wheel has double-row of holes. The results of static seeding test showed that rotational speed had a significant effect on the sowing quantity of millet and broomcorn millet (P < 0.001). The higher the rotational speed, the greater the sowing quantity. With the increase of rotational speed of seed metering wheel, the damage rate of millet and broomcorn millet increased. At the same rotational speed, the breakage rate of broomcorn millet is smaller than that of millet. The field sowing test showed that when the seeder is at a marching speed of about 0.5 m/s, the qualified rate of the hole spacing of millet and broomcorn millet is greater than or equal to 90%, and the qualified rate of the number of grains per hole is greater than or equal to 82%. All indicators meet the requirements of the technical conditions of single-grain (precision) seeder. The design can provide reference for the design and optimization of small grain precision seeder.

This study proposes a monocular vision navigation control system based on PID-fuzzy control, which travels along the edge of the path. It collects path image information through monocular vision, identifies the path edge through image processing to determine the preview point, and uses a combination of PID and fuzzy control to design a controller to track the preview point for path navigation. Firstly, coordinate calibration and conversion were performed on the monocular camera, achieving coordinate conversion from the image coordinate system to the world coordinate system. The accuracy of the calibration results was verified through experiments. According to the navigation strategy of driving along the edge of the path, the world coordinate equation of the path edge is obtained through image processing technology, and the preview point tracked by the navigation system is determined. The navigation parameters are determined based on the position of the preview point. The PID fuzzy controller system designed in this study can switch different control methods based on the position of the preview point. Finally, an experimental verification was conducted on the monocular visual navigation system of the control system. The verification results showed that the average error of the navigation control system in tracking the path when driving in a straight line was 0.039 m, the average error when turning left was 0.079 m, and the average error when turning right was 0.121 m. The error range can meet the basic requirements of agricultural robot farmland operations. Research has shown that the navigation strategy based on PID-fuzzy joint controller to track the preview point along the path edge has a good effect on the visual navigation control system of agricultural robots. This study provides important reference value for the research and development of monocular visual navigation systems of agricultural robots.

The objective of the present study was to make a theoretical study based on a CFD analysis for a conventional radial clarifier. The parameters of the Computational Fluid Dynamics analysis were set in the Ansys software, and after running the simulation, the values for fluid velocity, turbulence intensity and Reynolds number were obtained. Thus, it was obtained a fluid velocity of 0.103 m/s, a turbulence intensity of 3.82·10-2 % and a Reynolds number of 147. This work can help researchers in the field, mainly, but also radial clarifier manufacturers to optimise the process.

Coconut coir dust and corn stover powder were taken as raw biomass materials for pellet production, using four uni-axial compression set-ups, to explore the influence of the diameter of the inner hole diameter of the cylinder, the depth in compression , and the depth remained in compaction on the pellet density. Sample of pellets produced at the force steady phase, the maximum pellet density of the coconut coir dust material is 1.53 g/cm3 (1530 kg/m3), and 1.23 g/cm3 (1230 kg/m3) of the corn stalk powder pellets are obtained, At the same time, in the process of the test, Failure to compress the two biomass raw materials into pellets also occurred, indicating that the compression parameters studied in the experiment had a significant impact on the pellet quality. On the basis of the obtained pelleting test data, taking into account the nonlinear characteristics between pellet density and processing parameters involved, the adaptive neuro-fuzzy influence system(ANFIS) method was used to predict the pellet density of coconut coir dust and corn stover powder. The results show that the method is effective for predicting the density of biomass particles.

Livestock scale breeding is the inevitable trend of future livestock and poultry husbandry. Closed breeding requires excellent environment and livestock and poultry housings contain a lot of dust, pathogenic microorganisms and harmful gases, affecting the health of livestock and poultry and breeding personnel. Most of the common sterilization and dust collection devices for livestock and poultry housings on the market are too high energy consumption, and easy to cause secondary pollution. Therefore, an environmental purification device was designed to absorb dust in the air and kill harmful bacteria by using high voltage pulsed electric field. The device was designed using phase control principle and bundled conductor. COMSOL Multiphysics software was used to simulate the layout of single conductor, twin bundled conductor and quad bundled conductor. It was found that when the conductor was designed as twin bundled conductor or quad bundled conductor, the gradient distribution of spatial electric field intensity was more uniform and the downward trend of electric field was slower, which could effectively improve the dust collection and sterilization efficiency of the device. At the same time, a variety of electric field environments can be set up by using phase difference to meet different environmental requirements of livestock and poultry. The compound dust collection and sterilization device with phase-controlled bundled conductor for livestock and poultry housing space includes high voltage pulse generator, bundled conductor, high voltage special timer, insulator and other parts, which can effectively reduce the dust content in the air, the concentration of pathogenic bacteria, harmful gases, etc. after assembly test and can also reduce the humidity in the livestock and poultry housings.

Aiming at the problems of single mechanical performance, multi-person operation and low operation efficiency of air-suction jujube harvesting in China, combined with the requirements of mechanized jujube harvesting in Xinjiang, this study designed a self-propelled jujube collection strip pick-up machine. The machine is mainly composed of crawler chassis, landing jujube collection strip device, separation and impurity removal device and hydraulic system. According to the jujube planting mode, the size of the crawler chassis is 1780 mm × 1650 mm × 310 mm. In order to simulate the effect of artificial collecting strips, a reciprocating collecting strip blowing head was designed with a height of 15 cm from the ground, a horizontal and vertical angle of 35° and 15° respectively. The model of the collecting fan is selected as 9-19-4A; the fluid simulation analysis of the separation and impurity removal box is carried out to verify the rationality of the box structure design. The performance of the picker was tested by pick-up efficiency, cleanliness, breakage, and impurity rates. The results show that when the forward velocity was about 0.40 m·s-1, the average pick-up efficiency could reach 752.7 km·h-1, the average pick-up cleanliness rate was 95.66 %, the average breakage rate was 2.68 %, and the average impurity rate was 3.64 %. The self-propelled jujube collection strip pick-up machine designed in this experiment meets the requirements of mechanized harvesting of jujube and can realize single-person remote control operation.

The sunken solar greenhouse is suitable for the development of vertical planting, which results in higher yield. In order to investigate the effect of temperature on photosynthesis of plants, an experimental study was conducted on the temperature and photosynthesis of strawberry plants at different heights in the sunken solar greenhouse. The study showed that when the indoor temperature was higher than 25.5?, the photosynthesis of plants was inhibited; the transpiration rate decreased by 3.89 and photosynthesis rate decreased by 3.95 when the air temperature increased from 25.5? to 33.3? and then decreased to 25.4? at a height of 1.8m from the indoor floor; there were temperature differences in the vertical direction between the indoor temperatures of the sunken heliostat. The maximum temperatures at 0 m, 0.6 m, 1.0 m, 1.4 m, and 1.8 m height were 20.6°C, 24.1°C, 25.4°C, 25.4°C, 33, and 3°C, respectively, and different temperatures would have different photosynthetic characteristics of plants. This study can provide basic support for greenhouse regulation.

Aiming at the poor efficiency in crushing a handful of caking organic fertilizers spraying from the traditional disc spreader, an improved disc spreader equipped with spike-tooth crushing unit was designed with the introduction of its structural composition and working principle. Also simulation experiments were carried out based on the discrete element method according to the solutions made before and after the structural improvement. Firstly, a granular organic fertilizer model was established based on the EDEM and a caking organic fertilizer bonding model was built based on the HMB (Hertz-Mindlin with bonding) contact model. Then two organic fertilizer spreading models corresponding to the solutions were respectively established, based on which simulation experiments were repeated three times on the spreading process. The analysis on the particle velocity vector diagram revealed the interaction relationship between organic fertilizers with the toothed shaft, external wall and disk, verifying the crushing mechanism of crushing unit. By calculating the total number of the bonds generated and broken in the spreading process in both of the spreading models, the average broken rate of bonds in the spreading process was separately 58.87% and 98.05% based on each solution, revealing that the improved solution outperformed the traditional solution in terms of the efficiency in crushing the caking organic fertilizers. This research will be a reference in designing the critical components or improving the overall performance of disc spreader.

The corn grain harvester serves as an example of complex farming machinery with a condition monitoring system that collects a lot of working condition data, making it challenging to identify the true change pattern due to the data coming from the equipment in various states. Firstly, the overall structure of the corn grain harvester is analyzed, and the common causes and mechanisms of corn grain harvester failures are analyzed, leading to the cutting table as the main research object; Secondly, by collecting historical failure data of corn grain harvester as well as real-time failure information for collation and pre-processing, eliminating interference such as noise and missing data, establishing a failure matrix, extracting internal characteristics between failure causes and establishing a mapping between failure causes and failure phenomena; Finally, the future failure phenomena of the corn grain harvester are predicted according to different failure causes. The simulation analysis results show that the self-coding neural network fault prediction model can better predict the occurrence probability and types of faults and provide data support for fault maintenance and decision making of agricultural machinery.

In order to fully explore the influence of different pressure methods on the growth characteristics of buckwheat, a pressure test device with adjustable press force, and easy to replace the press wheel was designed. Using the dry matter quality of buckwheat roots, stems, leaves at seedling stage, plant height, number of main stem nodes, number of main stem branches, grain number per plant, grain weight per plant, and yield as evaluation indexes, single factor test on press force was carried out, and three-factor and three-level orthogonal test was carried out too with press wheel outer diameter, press force and press wheel type as factors. The results showed that the index values of buckwheat showed a trend of first increasing and then decreasing with the increase of press force. When the press force was 450 N, the growth and development of buckwheat performed best. The effects of press wheel outer diameter, press force, and press wheel type on growth characteristics of buckwheat was different. The effects of press force and press wheel type on the indexes were greater than that of press wheel outer diameter. The optimal pressure methods of buckwheat sowing are as follows: the press wheel outer diameter is 300 mm, the press force is 450 N, and the press wheel type is conical combined wheel. The results of this study could provide reference for the improvement of high-yield mechanized sowing technology of buckwheat and the design of rational pressure device.

In order to improve the opener of the seeder and its lightweight structure, a new type of opener is designed. The overall structure and working principle of a single-ditch double-row opener are analyzed, and the structural parameters of machete cutting soil and the soil guide board are designed and optimized. Using the penetration angle of machete cutting soil and the included angle of the soil guide board as test factors, field experiments were conducted. As the test indexes, the working resistance, the sowing coefficient of variation, and the depth coefficient of variation were used to analyze the effect of the opener. The results showed that in terms of working resistance, the penetration angle of the machete cutting edge and the included angle of the soil guide board were extremely significant, and the included angle was greater than the penetration angle regarding the influence degree. In terms of the sowing coefficient of variation, the penetration angle was significant, and the included angle was extremely significant. Regarding the depth coefficient of variation, the penetration angle was extremely significant, and the included angle of the guide soil board was significant. Based on the optimization analysis by using the Design Expert 8.0.6, it is found that the performance of the opener is optimal when the penetration angle and the included angle are 50.03° and 42.36°, respectively. The working resistance, the sowing coefficient of variation, and the depth coefficient of variation are 61.47N, 6.49% and 4.22%, respectively. After verification, the results are basically consistent, and the seeding and trenching performance meets the agronomic requirements. This study can provide a basis and technical reference for the design and development of the ditching technology and opener.

Facilities greenhouses are relatively narrow and airtight, and the machine operation turns frequently. The existing vegetable seeders is supported by manual hand, and the straightness of operation is poor, Turning around is time-consuming and laborious. This paper designs a remote control system of small vegetable seeder based on Arduino microcontroller, the Arduino single-chip microcomputer remote control technology, multi-motor synchronous drive technology, differential-electric push rod combined with lifting and steering control and other methods are adopted, Through remote control, the forward, speed regulation, lifting of the whole machine and field line change and steering of the seeder during vegetable sowing are realized. The differential steering model and brushless motor speed control model are established, and the android human-computer interaction APP is designed to realize the remote precise control of vegetable seeder. The performance test of the accuracy of the control system was carried out with the accuracy and steering accuracy of the seeder. The results showed that : under the condition of medium speed and medium and low speed operation, the seeding level of vegetable seeder is the most stable and reliable, the speed deviation rate of the seeder is 1.59 %, after starting the drive motor for 2s, the actual speed is close to the target speed, differential steering is relatively accurate, the qualified rate of steering is more than 89.8 %, the synchronous speed error of the lifting mechanism tends to be stable.This study can provide reference for the development of intelligent equipment for facility agriculture.

This paper proposes a fertilizer mixing device that combines pressure relief return and mechanical agitation to address the issues in the current water-fertilizer integration equipment related to limited fertilizer mixing methods and inconvenient irrigation pressure regulation. The device employs different mixing modes for various fertilizer forms and uses pressure relief return to adjust irrigation pressure, thereby enhancing the efficiency of water-fertilizer mixing and optimizing energy consumption. The experimental results indicate that the reflux mode is suitable for liquid-type fertilizers which are fast dissolving and easy to diffuse, and its EC value is stable at about 6.60 mS/cm, which is close to the calibrated value of 6.80 mS/cm. The stirring paddle mode compensates for the reflux modes weak mixing effect, making it suitable for solid powder-type fertilizers mixing operation. The EC value remains stable at approximately 8.60 mS/cm when calibrated at 8.70 mS/cm. The stirring paddle + two-way reflux mode demonstrates the most robust mixing effect and is suitable for mixing solid granular fertilizers. When calibrated at 8.20 mS/cm, it stabilizes at approximately the calibration value after 105 s. This research provides technical support and a theoretical basis to accomplish efficient, energy-saving, and rational application of water-fertilizer integration across diverse fertilizer forms.

For tagua, the quality of the polishing process is analyzed according to the surface finish of the material, which is obtained manually or through empirically developed machinery that does not include the study of the behavior of the material during the process, which generates an inefficient work. The objective of the work is to determine the macro structural properties of tagua nuts to simulate polishing using the discrete element method. Virtual models were developed and the corresponding physical and mechanical properties were assigned. Among the main results, a tagua nut model was achieved, with m=30.22 g and ?=1327.3±11.23 kg/m3, friction coefficient for wood of µ_e = 0.411±0.0006 and angle of repose of ß=24.644º±0.201º. These properties are the variables used as input data for the DEM model. Finally, the suitability of the Hertz-Mindlin model to simulate the process of mechanized polishing of tagua nuts is demonstrated.

For a peanut picking device with a feeding rate greater than 5 kg/s, the problem of low picking rate and high damage rate will occur during the picking process. A discrete element model is developed to determine the range of values of the main influencing factors affecting the peanut picking device. A three-factor, three-level orthogonal combination test was carried out with feeding volume, drum speed, and peanut picking gap as test factors to investigate the effects of the main influencing factors on the quality of peanut picking operation of the peanut picking device. The results of the field trials showed that the best results were achieved at the optimum combination of drum speed of 508 r·min-1, peanut picking gap of 22 mm, and feeding volumes of 6.3 kg/s. At this time, the peanut picking rate was 99.17%, and the peanut breakage rate was 0.91, meeting the standard technical requirements for mechanized peanut harvesting. The study results provide a theoretical basis for further enhancing the development of peanut combine harvesting equipment.

In order to solve the real-time obstacle avoidance problem in electric tractor operation, an improved dynamic window approach (DWA) based on optimal energy consumption is proposed for electric tractor obstacle avoidance. Firstly, energy consumption model of tractor is established based on the transmission system of electric tractor, then energy consumption evaluation sub-function is introduced to improve the evaluation function of original DWA algorithm, and finally, the trajectory is evaluated and the optimal solution of the trajectory is determined by using new evaluation function. Based on the kinematics model of YL254ET electric tractor in Yancheng Yueda, a model predictive controller is designed. The obstacle avoidance planning and tracking control of electric tractor are simulated jointly on Simulink and CarSim simulation platform. Finally, the obstacle avoidance planning test is carried out. The simulation and experimental results show that after the algorithm improvement, the energy consumption of electric tractors is reduced, the generated path is smoother, and the lateral error is smaller.

When the seeding monomer of no-tillage maize planter operates in sticky and wet soil, soil bonding and blocking of soil-touching parts will occur to different degrees, leading to functional failure and affecting the quality of seeding operation. Aiming to improve the anti-adhesion property with minimum cost, a seeding monomer is modified to operate in sticky and wet soil with the support of TRIZ (Theory of Inventive Problem Solving). There are two major scheme adjustments, including self-cleaning seedbed collating device and split gauge wheel. The Su-field model of seedbed collating device is constructed, and the design scheme of smaller wavy coulter and dirt scraper is proposed on the basis of the standard-solution tool and water-film theory. And the parameters of the wave are determined on account of force analysis of soil particles and bionic earthworm. Based on the systemic-functional analysis of the seeding depth-limiting device and the force analysis of gauge wheel during operation, a split type of depth-gauge wheel with large lug hole is designed. As a result, the field trial demonstrates that the improved monomer could meet the operation requirements of clay soil with the water content of 15%-25%. Compared with the original model, the residual clay content is decreased (seedbed collating device 57.5%, gauge wheel seeding depth-limiting device 10%). This study can provide reference for the anti-adhesion design of soil-contacting parts of agricultural machinery.

The accuracy of tractor plowing is an important link to ensure the quality of agricultural crops. The integrated control of draft-position in plowing is an effective plowing precision control technology which can be used to improve the tractors plowing efficiency. The hydraulic system of the tractor hitch has the characteristics of large load and complex working environment. A differential and integral sliding mode adaptive controller (DI-SMAC) is designed for the tractor hitch hydraulic system with strong nonlinearity, uncertainty and time-varying parameters. Compared with the traditional PID controller, integral sliding mode adaptive controller(I-SMAC) and differential and integral sliding mode adaptive controller(DI-SMAC) in the electro-hydraulic hitch control system, the numerical simulation verifies the advantages of the differential and integral sliding mode adaptive controller. The real test platform of the agricultural tractor is built. The test results show that the DI-SMAC can realize the integrated control function of draft-position. In the position control mode, there is no static error, and the anti-interference ability is strong; Under the draft control mode, compared with the traditional PID controller, the range of traction error of differential and integral sliding mode controller is reduced by 32.9%, and the standard deviation is reduced by 38.6%; When the weight coefficient is changed, the traction force and tillage depth fluctuation are different with different weight coefficients. It shows that the DI-SMAC is stable and effective, and the developed method is expected to provide technical support for the fine plowing operation of tractors.

To ensure accurate and consistent fertilizer application, the key component of the fertilizer feeding device, the grooved wheel, was designed and theoretically analyzed, and the number of grooves of the fertilizer wheel was determined to be 9. The effects of grooves inclination angle, grooves length and operating speed on the fertilizer feeding performance were analyzed by single-factor tests, and the appropriate range of factors was determined. The effect of the interaction between groove length and operating speed on the amount of fertilizer discharged from the groove was investigated by a full factorial test, and a quadratic regression was fitted to the test results to establish the regression equations of groove length and operating speed on the average fertilizer application per groove and the coefficient of variation of the average fertilizer application per groove, which can be used to predict the average fertilizer application per groove and the coefficient of variation of the average fertilizer application per groove to solve for groove length and operating speed.

The hourly productivity of the milking parlour is significantly influenced by the organization of the technological process. Milkers perform a series of sequential operations (entry on the platforms, washing, drying, placing the milking units, removing them, disinfecting the teats, exiting the platforms of the milking parlour) the duration of which is a large part of the total milking time. The duration of the latent period from the release of oxytocin to its contact with the myoepithelial cells in the glandular part of the udder is from 30 s to 90 s (average 60 s). In this line of thought, the following questions arise: "in what time interval should the preparatory operations for milking be performed and what is their permissible duration". The aim of the present study is to develop methodologies (models) for simulating the work of milkers in "Parallel" type parlours. It was found that under the initially set working conditions of only two milkers in the milking parlour, all developed models are applicable for capacities up to 2x8. Models II, III and IV are unacceptable for capacities above 2x8, as the total duration of preparation of milking cows exceeds the time frame by between 30-80%. This finding proves that for a capacity over 2x8 it is necessary to perform technological operations with a larger number of milkers.

Soluble solid content (SSC) is a major quality index of kiwifruits. Visible near-infrared (Vis/NIR) hyperspectral imaging with the genetic algorithm (GA) was adopted in this study to realize the non-destructive prediction of kiwifruit SSC. A laboratory Vis/NIR hyperspectral imaging system was established to collect the hyperspectral imaging of 120 kiwifruit samples at a range of 400–1100 nm. The average reflectance spectral data of the region of interest of the kiwifruit hyperspectral imaging were obtained after different preprocessing method, namely, Savitzky–Golay smoothing (SG), multiplicative scatter correction (MSC), and their combination method. The prediction models of partial least squares regression, multiple linear regression, and least squares support vector machine (LS-SVM) were built for determining kiwifruit SSC by using the average reflectance spectral data and effective feature wavelength variables selected by GA, respectively. The results show that SG+MSC is the best preprocessing method. The precisions of the prediction models built using the effective feature wavelength variables selected by GA are higher than that established using full average reflectance spectral data. The GA-LS-SVM prediction model has a best performance with correlation coefficient for prediction (R=0.932) and standard error of prediction (SEP=0.536° Bx) for predicting kiwifruit SSC. The prediction accuracy has been improved by 5.6% compared with that of the prediction models established by using the full-band reflectance spectral data. This study provides an effective method for non-destructive detection of kiwifruit SSC.

Desiccated Coconut (DC) is a product rich in fat, protein, carbohydrates and fiber. It is widely used as an additive for the snack industry. As a potential food additive product, every process needs to be considered to produce a good quality DC. The effort to maintain the quality of DC is to optimize the main process of making DC, namely the drying process. In several studies, the drying condition of DC was carried out differently, that is why an optimization process on DC drying is needed. This study aims to determine the temperature and drying time combination that produces DC with the optimum moisture content, fat content, and yield. The drying process used a food dehydrator with a temperature combination of 50°C to 70°C and a time of 2 to 4 hours. The research method used was a laboratory experimental method with Response Surface Methodology (RSM) optimization using Central Composite Design (CCD). It was presented that the optimum drying conditions given by RSM were obtained by drying at 70°C for 2 hours. The results obtained from the validation of a water content of 1.279% wet basis (wb), a fat content of 64.855% wb, and a yield of 42.363%, were following CODEX STAN 177-1991. Based on this study, it can be concluded that the combination of temperature and drying time affects moisture content, fat content, and DC yield.

With the development of the economy and society and the improvement of living standards, the demand for fresh products is increasing, and the huge demand has driven the rapid growth of fresh products in China. However, fresh products are prone to spoilage and wear, and higher transportation requirements are put forward to ensure product quality. Based on this, the transportation function of cold chain logistics vehicles on farm products cold chain logistics greatly improves the cold chain transportation efficiency of agricultural products. Aiming at the vehicle path problem of cold chain logistics distribution and under multiple refrigerated trucks, a single distribution center, and multiple commodity types, a path optimization model of cold chain logistics vehicles was established with the optimal evaluation of total distribution cost and distribution vehicles as the objective considering the economy, greenness, and sustainability of vehicles. Then, an evaluation index system of refrigerated trucks consisting of cost index, environmental index and quality index was established, an AHP-TOPSIS (Analytic Hierarchy Process, Technique for Order Preference by Similarity to an Ideal Solution) evaluation model of refrigerated trucks was constructed, and the comprehensive evaluation value of refrigerated trucks was obtained. On the basis of vehicle evaluation results, the corresponding vehicle path optimization model of agricultural cold chain logistics was established, the large-scale neighborhood search SA algorithm was designed to solve an example, and the optimization model was compared with the optimization model without considering vehicle evaluation. The experimental results show that considering the vehicle evaluation factors can effectively reduce the distribution cost, and increasing the vehicle evaluation weight can effectively improve the greenness and sustainability of the distribution fleet.

With the rapid development of agricultural machinery intelligence and informatization, agricultural robots are becoming the protagonist, promoting standardized production in agriculture, improving efficiency, and reducing labor costs. However, how to quickly plan an efficient and safe path for agricultural transport robots is currently a hot topic in path planning research. In this study, the path optimization problem of agricultural robots handling agricultural products (such as Edible Fungi) in and out of warehouses, which served as the study object, was solved. First, the number of agricultural handling robots was initialized based on the scanning method, and the geometric center of sub-path nodes was set as the virtual node. Secondly, the optimal path of the virtual node was solved using the improved ant colony algorithm embedded with a genetic operator, and the optimal result of sub-paths was acquired. Thirdly, the optimal solution meeting constraint conditions was obtained with the launch cost, transportation cost, and time cost of agricultural robots as objective functions. Lastly, the effectiveness of the optimization model and the improved ant colony algorithm was verified through the instance analysis. This study is of certain significance to the ex-warehousing path optimization of agricultural robots under the sustainable development concept of agricultural automation.

The water availability in soil strongly influences crop growth by sustaining photosynthesis, respiration, and the maintenance of plant temperature. The water availability will decrease due to crop evapotranspiration (ETc) which is influenced by reference evapotranspiration (ETo) and crop coefficient (Kc). During water shortage, Kc is strongly influenced by soil evaporation coefficient (Ke) and basal crop coefficient (Kcb) which can be calculated using the Blue Red Vegetation Index (BRVI). The purpose of this study was to apply and evaluate a new method of estimating ETo, Ke, and Kcb at a research site using a Deep Neural Network (DNN) with minimum requirements. The results of the ETo estimation using DNN shows a good output with a determinant coefficient (R2) being 0.774. Meanwhile, the estimates of Ke and Kcb show excellent results with the determinant coefficient (R2) being 0.9496 and 0.999 respectively.

The quality of white tea buds is the basis of the quality of finished tea, and sorting white tea buds is a laborious, time-consuming, and key process in the tea-making process. For intelligent detection of white tea buds, this study established the YOLOv5+BiFPN model based on YOLOv5 by adding a Bidirectional Feature Pyramid Network (BiFPN) structure to the neck part. By comparing the YOLOv5 and YOLOv3 through the ablation experiment, it was found that the YOLOv5+BiFPN model could extract the fine features of white tea buds more effectively, and the detection average precision for one bud and one leaf was 98.7% and mAP@0.5 was 96.85%. This study provides a method and means for white tea bud detection based on deep learning image detection, and provides an efficient, accurate, and intelligent bud detection model for high-quality white tea sorting.

In this study, an online detection system of soybean crushed rate and impurity rate based on DeepLabV3+model was constructed. Three feature extraction networks, namely the MobileNetV2, Xception-65, and ResNet-50 models, were adopted to obtain the best DeepLabV3+model through test analysis. Two well-established semantic segmentation networks, the improved U-Net and PSPNet, are used for mechanically harvested soybean image recognition and segmentation, and their performances are compared with the DeepLabV3+ model’s performance. The results show that, of all the models, the improved U-Net has the best segmentation performance, achieving a mean intersection over union (FMIOU) value of 0.8326. The segmentation performance of the DeepLabV3+ model using the MobileNetV2 is similar to that of the U-Net, achieving FMIOU of 0.8180. The DeepLabV3+ model using the MobileNetV2 has a fast segmentation speed of 168.6 ms per image. Taking manual detection results as a benchmark, the maximum absolute and relative errors of the impurity rate of the detection system based on the DeepLabV3+ model with the MobileNetV2 of mechanized soybean harvesting operation are 0.06% and 8.11%, respectively. The maximum absolute and relative errors of the crushed rate of the same system are 0.34% and 9.53%, respectively.

Governmental incentives, technological progress, and lowering costs have made renewable energy more accessible and more affordable for residential areas. Switching to renewable energy sources not only reduces greenhouse gas emissions but also provides long-term financial gains, energy independence, and a cleaner environment for communities. In this study, a numerical analysis of a vertical-axis wind turbine layout that is easily adaptable to populated areas was conducted. Among the results are the variation of the torque coefficient during the course of a complete 360-degree rotation and the vorticity magnitude evolution at the nominal point. In order to validate the numerical results, a test campaign will be conducted inside the wind tunnel as part of further study. This campaign will be carried out using an experimental small-scale model.

The sandy loam soil has complex movement characteristics during hole formation by hanging cup transplanters. In order to better investigate this point, the paper aims to investigate the disturbance pattern of transplanter vibration on sandy loam soil and the movement characteristics of soil particles by the discrete element method. The vibration characteristics of the transplanter operating on sandy loam soil were tested and analyzed, and the motion law of vibration parameters on sandy loam soil was investigated with the help of the discrete element method and soil bin test. The results showed that the vibration acceleration of the transplanter increased with the forward speed, the primary vibration frequency range was from 0 to 12 Hz, and the vibration amplitude increased linearly in the field of 1.21 to 9.19 mm. The Central Composite test resulted in the regression equations of vibration amplitude and vibration frequency on the average movement velocity of the particles. The response surface analysis showed that the effect of vibration amplitude on the average movement velocity of particles was greater than the effect of vibration frequency on the average movement velocity of particles. At the same time, the average movement velocity of the particles tends to increase significantly under the interaction of the two. This study provides data to support the design of planters for sandy loam soils, which is beneficial to promote seedling transplanting technology further.

In view of the fact that the threshing gap of combine harvester can only be controlled by adjusting gravure screen and it is time-consuming and laboring, a kind of variable-diameter threshing drum with movable radial plates is developed by changing the diameter of threshing drum to adjust the threshing gap concentrically. All parts of the threshing drum were designed and checked by mechanical design principle, and the statics and modal analysis of the whole structure were carried out by ANSYS Workbench. The results show that the maximum deformation of the variable-diameter threshing drum with movable radial plates is 0.29 mm under boundary conditions. The maximum allowable deformation of the threshing drum in use is 3 mm, which meets the requirements of use. The equivalent stress of the threshing drum with variable diameter is up to 100 MPa, which is less than the yield strength of the material, and will not cause structural damage. According to the modal analysis, the natural frequency of the threshing drum does not cause resonance phenomenon. The field test of wheat was carried out after the processing of the variable-diameter threshing drum with movable radial plates was installed, and the working performance was compared with that of the ordinary drum. The results showed that the threshing performance was the best when the forward speed was 1 m/s, the grain entrainment loss rate was 0.53%, and the grain un-threshed rate was 0.065%. The grain breakage rate is 0.54%, and the performance is more than 50% higher than that of ordinary rollers. It lays a foundation for the adaptive adjustment of threshing gap in combine harvester.

This paper evaluates linear regression analysis, BP neural network, and a random forest prediction model for the prediction of jujube water demand. The results highlight that the R2 of the random forest is 0.941 and the residual distribution is the most stable. Hence, the random forest is more suitable for prediction, and therefore, an intelligent irrigation system is established employing random forest, where the cloud server is the upper computer and a Raspberry Pi is the lower computer, and at the same time, a PC and a mobile interface was built to present various information about the developed irrigation system.

The paper aims to investigate how to improve the performance of a refrigeration system (Rs) that equips a cold room, by incorporating phase change materials (Phase Change Materials - PCMs) in these systems, a study that has not yet been extended experimentally. The study is carried out on a cold room within the National University of Science and Technology Politehnica Bucharest - Faculty of Mechanical and Mechatronics Engineering, Department of Thermodynamics, Engines, Thermal and Refrigeration Equipment. This room is equipped with a refrigeration system with mechanical vapour compression (VCRs), which uses R404A as refrigerant. Mechanical vapour compression refrigeration system (VCRs) with an evaporation temperature below 0oC causes ice to form on the evaporator leading to reduced performance. Currently, the widely used methods for defrosting are the standard methods, the most used being the electric one, which of course consumes energy. This paper aims to evaluate the availability of heat that could be used in the defrosting process by means of PCMs. The study was made using the Engineering Equation Solver software, several types of PCMs and also different refrigerants (R600a, R600, R1234yf, R1234ze, R152a, R290, R32) and in this way it was intended to identify the right agent to be used for a particular type of PCM.

An active-action seeding depth automatic control system was designed , with the purpose of effectively ensure the consistency and stability of the seeding depth when the seeder is operated in the field. Strain-gauge pressure sensor was used in the system, which can detect the force on the tip of the furrow opener in the soil in real time, proceed to the next step judge the change of the seeding depth in the soil according to the change of the pressure signal. In order to achieve consistency and stability of seeding depth, the control signal formation circuit will send a control signal when the pressure on the tip of furrow opener exceeds the appropriate pressure range, and the motor will be controlled to rotate clockwise or counterclockwise to drive the rack and pinion movement to realize the vertical lift of the furrow opener, so that the force on the tip of furrow opener in the soil remains within the appropriate range. The test results indicate that the seeding depth adjustment device based on the tip of furrow opener force measurement has stable and reliable control performance for controlling the seeding depth with an average seeding depth qualification rate of 94.56% and an average seeding depth variation coefficient of only 9.29%, which greatly ensures the consistency and stability of the seeding depth under the condition that the seeding depth is 30-70mm and the working speed is 3-7km/h.

Rat-hole area and number of rat holes are indicators of the level of degradation and rat damage in grassland environments. However, rat-hole monitoring has consistently relied on manual ground surveys, leading to extremely low efficiency and accuracy. In this paper, a convolutional block attention module (CBAM) model suitable for rat-hole recognition in desert grassland monitoring, called grassland monitoring-CBAM, is proposed that comprehensively incorporates unmanned aerial vehicle hyperspectral remote-sensing technology and deep-learning methods. Validation results show that the overall accuracy and Kappa coefficient of the model were 99.35% and 98.90%, which were 3.96% and 3.35% higher, respectively, than those of the basic model. This study represents a breakthrough in the intelligent interpretation of rat holes and provides technical support for the subsequent rapid interpretation of grassland rat holes and rat damage evaluation. It also provides a solution for the fine classification and quantitative inversion of similar landscape features.

In this study, the effects of different electric field parameters on the germination characteristics of aged rice seeds were determined via low-frequency high-voltage pulsed electric field (LH-PEF) treatment. The Design-Expert software was used to design a rotating combination test, and response surface analysis was used to optimize five germination characteristics of rice seeds. The optimal treatment voltage was 13 kV and the optimal treatment time was 32.72 min. The results show that, under the optimal treatment conditions (P<0.01), the germination potential (GE), germination rate (GP), germination index (GI), vitality index (VI) and high vitality ratio (HVR) of the aged rice seeds increased by 23.7%, 17.7%, 43.2%, 59.7%, and 250%, respectively, compared to the control. The pulsed electric field’s biological effect on the aged rice seeds was the most significant when the optimal treatment parameters were used. The results of this study provide a reliable reference for the parameter optimization of high-voltage electric field treatment of crop seeds.

An important operational indicator of agricultural machine-tractor units is the smoothness of movement, which significantly affects the traction and dynamic performance of their work, productivity, agronomic qualities of the operation, traffic safety, durability and efficiency. As a rule, it is evaluated by the influence of oscillations (translational vertical, transverse, angular longitudinal, etc.), on these indicators, as well as on the physical condition and health of operators who control these units in real production conditions. This article presents an improved method and results of experimental assessment of the smoothness of the movement of the modular agricultural unit, which moves in the footsteps of a constant technological track. Studies of the smoothness of the modular unit showed that the graphs of normalized correlation functions of vertical oscillations of the modular agricultural tool developed by us in its motion in the wake of a constant techno-logical track is characterized by a function containing along with random components harmonic, which are expressed by attenuating periodic oscillations. The range of frequencies of oscillations of the frame of the agricultural tool is concentrated in the range from 0 t? 20 s-1, which is consistent with the frequency range 0…0.3 s-1 in which the variances of oscillations of inequalities of a profile of traces of a technological track are concentrated. Studies have confirmed the effectiveness of the method of estimating the intensity of vertical oscillations of the agricultural unit measuring and recording system based on a tablet computer with Android operating system with built-in accelerometer sensors and Accelerometer Meter application. The developed technique of mathematical modelling and experimental determination of vertical oscillations of the machine-tractor unit can be used in the study of the dynamics of other agricultural machines and units.

In view of the complex agronomic technology of highland barley production and the lack of special machinery for harvesting and bundling highland barley, the harvesting of highland barley is basically done manually. There is a seriously reduced degree of mechanization of highland barley harvesting. Therefore, this paper designs a self-propelled highland barley harvesting and bundling machine, which realizes a single operation process to complete mechanized complex operations such as harvesting, bundling and laying highland barley. By designing the highland barley harvesting method and cutting platform, the height of the cutting platform can be adjusted stepless, and the highland barley bundle knotter is designed to realize the regulation and control of the baling diameter of the highland barley. According to the design of the rope feeding mechanism, the gathering mechanism and the baling mechanism, the main parameters of the baling device are determined. The stubble cutting height of the machine is 325 mm, the average diameter of the highland barley bundles is 195 mm, the average weight per bundle is 5.08 kg, bale formation rate is 97.8%, the qualification rate of the straw bundle reaches 95.6%, drop resistance rate is 92.6%, operating efficiency is 0.82 ha/h. The harvest baler runs in low speed 1 gear, the machine has high operation efficiency, high bundling rate of highland barley, good paving effect, reduced labor intensity, provides the mechanized efficiency of highland barley harvesting. Fuel consumption per hectare is 8.05 kg.hm-2, and the three shifts are without fault, to sum up, it can meet the requirements of highland barley harvesting and baling. The above research can provide a reference basis for the design of the highland barley harvesting baler.

Straw found in the field can be conveniently stored and transported through mechanical packaging, and it undergoes crushing during its utilization. The effectiveness of the crushing process directly impacts the efficiency of material utilization. However, current crushing devices available in the market lack specialized mechanisms suitable for the unique characteristics of round corn stalks. To address this issue, the necessary simulation parameters were determined, and an experiment was conducted using the ternary quadratic combination test method. The test factors considered were the center height difference of the knife roller, lower roller speed, and cutter thickness. The response value of the experiment was the material crushing rate. By analyzing the results, the optimal structural parameters were identified. These included a center height difference of 390 mm for the knife roller, a lower roller speed of 14 rpm, and a cutter thickness of 110 mm. With these parameters, the crushing rate of the round straw crushing device reached 93.77%, and the particle passing ratio was 98.52%. To validate the research findings, a test device was constructed and used to confirm the reliability of the obtained results.

One of the ways to improve the maneuverability of wheeled axle machines when they move along the tracks of a constant technological track is the use of onboard turning. This simplifies the layout, increases the useful volume of the machine due to the release of niches in the machine body, necessary for placing the steering wheels when turning. However, the question of the efficiency of onboard turning of axle machines by the criterion of power input remains insufficiently studied. The aim of the research is to substantiate the criterion of the power required to implement on-board turns of an overhead machine. Theoretical research, synthesis of design schemes, parameters and modes of operation of bridge machines have been carried out by simulating on a personal computer the conditions of their functioning. The basics of theoretical mechanics and tractor theory were the basis of the research methods. As a result of the research, it has been established that power (onboard) turning is widely used for wheeled machines and has a prospect of application on bridge machines used in the track farming system. Approbation of the developed methodology of determining power inputs for power (onboard) turning of wheeled axle machines has shown that under the accepted conditions of turning the power required for turning of the axle machine is 28% of the engine power at a speed of 5 km?h–1. As the gauge of the bridge machine increases, the total power required for the power (onboard) turn increases exponentiall

In the given article, the results of the tribological research of the chrome-gray cast iron coupling are presented, the friction conditions between the cylinder liner and the compression segment being lubricated in various environments are modeled: diesel (control), pure biodiesel B100 and biodiesel-diesel B20 mixture. It was established that the average values of the coefficient of friction in the chrome-gray cast iron coupling, in the case of using biofuels B20, B100 as the lubricating material, are higher in relation to diesel fuel: by 15.6% for B20 and, respectively, by 23.3% for B100. The values of the total wear of the tribological coupling decreased, in relation to diesel, by 36.8% in the case of lubrication with B20 and by 39.5% - with B100.

n the process of revegetation of degraded grassland by pneumatic seed sprayer, the working parameters of the sprayer, such as the position of the sprayer and the air velocity of the inlet of the sprayer, have an impact on the uniformity of spraying. In this paper, 4BQD-40C pneumatic sprayer is taken as the research object. The influence of the compensation mechanism on the airflow velocity at the inlet of the barrel nozzle and the spraying quality is analyzed. The conclusions show that: (1) The planting trajectory of the sprayer inlet compensation mechanism is analyzed, and the planting trajectory equation is obtained, which lays a foundation for subsequent research. (2) The influence law of the opening height on the inlet airflow velocity of the nozzle is obtained, and the drop trajectory is adjusted by adjusting the inlet airflow velocity of the nozzle, and the area of the missed seeding area is reduced. (3) The time points of opening height adjustment and reset of the compensation mechanism in one cycle were obtained. At the same time, there is a lag time t1 due to changing the seed drop trajectory by adjusting the nozzle inlet airflow velocity. Due to this lag time, the compensation mechanism can be used to change the seed drop trajectory when the swing frequency is less than 7.3 min-1 to achieve optimization of the reseeded and missed seeding areas.

In this paper, the development of a portable, multifunctional water quality monitoring system for aquaculture that is based on IoT technology is presented. The system integrates a main control module, sensor module, Human Machine Interface (HMI) module, Wi-Fi module and power module, and is equipped with system software based on Real Time Operating System (RTOS) for scheduling tasks. The main control module collects crucial water quality information, including water temperature (WT), dissolved oxygen (DO), ammonia nitrogen (NH3-N), and pH, through the sensor module and facilitates data interaction with the HMI module. The proposed aquaculture water quality evaluation model utilizes water quality parameters as input to assign a grade based on the evaluation result. These parameters are transmitted wirelessly to the OneNet cloud platform using Wi-Fi modules, enabling users to remotely monitor the water quality through a visual interface. The system structure has been meticulously designed to accommodate both portable and fixed-point remote monitoring applications. The experimental results demonstrate that the system is accurate, stable, and cost-effective, providing a reliable and efficient solution for intelligent aquaculture in small and medium-sized enterprises.

To realize real-time monitoring of film laying process of cotton precision planter and improve intelligent level of cotton precision planter, based on advanced morphological filtering method and graphical programming of Labview software, a film laying quality monitoring system of cotton precision planter is designed. Using the Vision Assistant visual assistant, the system uses a color extraction function to convert colors to grayscale images. It uses LOOKup Table function and FFT filter function to perform grayscale transformation, binarization and advanced morphological filtering on it respectively. It then uses basic morphology to acquire various components in the plastic film image. It realizes the monitoring of parameters such as the width of the daylighting surface, the side length or seam length of the mechanical damaged part, and the width of the film edge covering soil. The performance test results of the film laying quality monitoring system showed that the system worked stably and reliably, the average monitoring accuracy of the width of the lighting surface and the width of the film edge covering soil reached more than 95%, and the average monitoring accuracy of the side length or the length of the seam at the mechanical damage part reached more than 88%. It solved the problems of difficulty in recognizing the similarity between the plastic film and the background interferer (soil, etc.) and could accurately detect the quality of the cotton film in real time. It effectively improved the operation quality and working efficiency of the cotton precision planter and met the practical requirements of film laying monitoring.

The article presents results generated by research on the influence of forward speed on the traction resistance force for soil processing machines. Statistical estimators are proposed to highlight the intensity of the connection between the traction resistance force and the forward speed and an optimal evaluation method of an exponent of the work speed to explain as well as possible the behaviour of the traction resistance force. It is found that the variance and the standard deviation are the statistical estimators that highlight the most intensively the connection between the traction resistance force and the forward speed.

The working process of the threshing apparatus is characterized by the qualitative working indices they achieve during operation. In order to maximize them with effect on reducing the percentage of seed losses, damaged seeds and impurities in the seed mass, respectively increasing the percentage of separated seeds, certain adjustments can be made on the component elements of a threshing apparatus in accordance with the type, quality and the condition of the material subjected to the threshing operation. In this paper, a n axial flow threshing apparatus was tested under different conditions, in order to be able to obtain the data necessary to adjust the working parameters, which would allow it to be operated at the desired quality indices (losses, injuries and minimal impurities together with separation of seeds from ears and straw almost completely).

The precise detection and recognition are the premise in accurate prevention and control of tomato diseases. To improve the accuracy of tomato diseases recognition model, nine kinds of sick leaves images including tomato target spot bacteria in Plant Village and healthy leaves images were used. A new attention mechanism module called CBAM-? was created by changing the serial connection between Channel and Spatial attentions of CBAM to parallel connection, and then the results of two modules were added together. CBAM-? had been verified to be effective and universal in the convolutional neural network model. The accuracy of MobileNet-V2 with CBAM-? model was 99.47%,which had increased by 1.13%, 0.93%, 0.7%8 and 1.06 % respectively comparing with MobileNet-V2 model, MobileNet-V2 plus Channel attention module, MobileNet-V2 plus Spatial attention module, and CBAM attention module. Furthermore, the accuracy of AlexNet, Inception-V3 and ResNet50 model has increased 1.73, 0.15 and 0.33 % respectively when the CBAM-? module was added. Results showed that the proposed module CBAM-? created in this experiment is more effective in MobileNet-V2 model for tomato diseases recognition, and could solve interference problems resulted from the serial connection. Additionally, the accuracy of four convolutional neural network models including Mobilenet-V2, AlexNet, Inception-V3 and ResNet50 model had all increased when the CBAM-? module was added, which represented the good universality of CBAM-? module. The results could provide technical support in accurate detection and control of tomato diseases.

Passive solar greenhouses are developing rapidly in China and they can significantly increase crop yields. The main reason for this increase in crop yield is the availability of a suitable thermal environment. In order to investigate the thermal environment of the heliostats in the high latitude water-scarce and cold region of Shanxi, the thermal environment of the heliostats in this region was measured in this paper, and the results showed that the highest temperature of the heliostats was located in the eastern part of the crop area at about 4m from the back wall; the highest and lowest temperatures of the heliostats were located in the eastern part of the crop area;the maximum and minimum temperatures in the greenhouse were located in the eastern part of the crop area, and the temperatures in most of the crop area exceeded 30°C. This research can provide theoretical support for the construction and management of solar greenhouses in low heat and water areas at high latitudes.