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Journal of Chinese Agricultural Mechanization

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Temperature prediction algorithm for poultry house based on optimized feature subset selection and improved SVR
Li Jidong, Wang Qianghui.
Abstract133)      PDF (1158KB)(121)      
In order to improve the accuracy of temperature prediction for poultry houses and reduce the impact of data redundancy and difference on the prediction results, a temperature prediction model based on intelligent optimization feature subset selection and fuzzy clustering improved SVR (Support Vector Regression) is proposed. Firstly, the optimal feature subset selection model is constructed, and the optimal feature subset selection index is designed to reduce the redundancy and data dimension between features; The improved discrete Gray Wolf algorithm is used to solve the feature subset selection model to realize the optimal feature subset selection. Secondly, the fuzzy clustering improved SVR prediction mechanism is established, and the multicore FCM (Fuzzy Cmeans) algorithm is designed to realize the automatic classification of data samples; A SVR prediction algorithm corresponding to data sample classification is proposed, and the Gray Wolf algorithm is used to optimize the SVR parameters to minimize the impact of sample data differences on prediction accuracy. Finally, the optimal feature subset selection and fuzzy clustering are combined to improve the SVR prediction mechanism to realize the highprecision prediction of poultry house temperature. The simulation results show that the algorithm realizes the highprecision prediction of poultry house temperature in different seasons and different climatic conditions, and the prediction accuracy is improved by about 23.7%-37.8% compared with other prediction algorithms.
2023, 44 (2): 91-98.    doi: 10.13733/j.jcam.issn.2095-5553.2023.02.013
Development status and trend of control system of the orchard branches crushing machinery
Wang Qiang, He Lei, Zhou Yan, Pan Yunfei, Song Long, Song Zhenshuai.
Abstract270)      PDF (1135KB)(375)      
The orchard twig shredder is an important tool for orchard twig treatment and efficient resource utilization. It has certain ecological benefits for environmental protection. The control system is the key core component of the twig shredder, and its performance directly affects the performance and effect of the whole machine. The research status of the control system of the orchard shoot shredder at home and abroad is expounded from three aspects: the feeding control system, the crushing control system and the collecting box control system. It is analyzed that the current control system of orchard shoot shredder in my country has the problems of simple control system, poor stability, relatively single function and lack of innovation. It points out the development trend of improving control technology, improving automation and intelligence level, supporting each other with multiple systems, and reducing the production of ecological environment pollution and so on. It provides a reference for the study of the control system of the orchard shoot shredder.
2022, 43 (9): 238-244.    doi: 10.13733/j.jcam.issn.20955553.2022.09.032
 Design and experiment of traction type flowerthinning machine
Zhou Yan, Pan Yunfei, He Lei, Song Long, Song Zhenshuai, Wang Qiang.
Abstract2134)      PDF (2623KB)(283)      
Aiming at the problems of high operation intensity, high cost and inability to adjust the parameters of the mechanical flower thinning device in the flower thinning link, and combined with the agronomic requirements of the modern orchard planting mode, a traction flower thinning machine is designed. By adjusting the main parameters such as the rotating speed of the thinning machine, the working position, the cutting angle and the interval of the rubber strips, the thinning operation is carried out, so as to improve the use range of the device in the management of the orchard, and the traction mechanism, transmission mechanism, link mechanism, rack, Hydraulic motor, guide rail, rotating shaft, rubber strip for structural design. Combined with the working environment and load force of the thinning machine, the hydraulic control system is selected and designed. It is determined that the hydraulic cylinder is 25 mm, the diameter of the piston rod is 13 mm, the maximum load is 2.5 MPa, the length of the guide sleeve is 17 mm, the hydraulic pump is 2.5 MPa, the motor is 2.5 kW, and also to verify the stability of the piston rod. Field tests show that when the forward speed of the whole machine is 4 km/h, the speed of the glue strip is 300-400 r/min, and the interval between the glue strips is 5 cm, the thinning rate is 29%-35%, which meets the agronomic requirements of the flower thinning stage.
2022, 43 (11): 43-49.    doi: 10.13733/j.jcam.issn.2095-5553.2022.11.007
Numerical simulation and experiment of distribution head of airblown seed drill based on DEMCFD coupling
Xing Kai, Gao Xiaohong, Dai Xiaojun, Wang Qiang, Zhang Ping, Zhou Haiyan.
Abstract225)      PDF (3956KB)(428)      
To study the influence of distribution heads of different types of airblown seed drills on the seed metering performance of Elymus, the particle movement of distribution heads was numerically analyzed by Discrete Element Method (DEM) and Computational Fluid Dynamics (CFD) coupling simulation method. In the gassolid coupling model, EDEM software was used to simulate the solid phase of Elymus particles, and Fluent software was used to describe the gas phase. Through studying the effects of upper convex cover, flat cover, and conical cover distribution heads on airflow pressure, particle collision, and particle movement characteristics, it was clear that conical cover had the highest energy consumption and the most particle collision times. Flat cover was the most energysaving, had the least collision times, and had the minimum damage done to forage seeds. It was found that the larger the reflection angle, the greater the radial velocity and the more times of particle collisions after particles collided with the top of the distribution head. As the static pressure at the distribution heads inlet increased, the fans energy increased accordingly. The seed metering performance of Elymus was tested on the planter equipped with a flat cover distribution head. The apiece row consistency variability coefficient of seeding quantity  was 4.83%, the stability variability coefficient of the full seeding quantity  was 3.97%, and the breaking ratio of the Elymus seeds  was 1.36%, all of which met the requirements of national standards. The simulation and test results provided an idea for the future design and optimization of the distribution head of the airblown seed drill.
2022, 43 (1): 39-46.    doi: 10.13733/j.jcam.issn.20955553.2022.01.007
Research progress of flower and fruit thinning in orchard management
Pan Yunfei, Zhou Yan, He Lei, Wang Qiang, Song Zhenshuai, Song Long
Abstract326)      PDF (4847KB)(413)      
Flower and fruit thinning is an important link in orchard management, and it is one of the most effective measures to ensure orchard yield and fruit quality. At present, flower and fruit thinning in China is mainly manual, and the degree of mechanical equipment is low. The lack of scientific management technology, backward automation management level, and the labor shortage have become the biggest obstacles to developing orchards in China. The traditional manual operation methods could not meet the demand of orchards. Full automation and mechanization problems need to be solved. In this paper, the hydrophobic flower thinning stage management technology, mechanical equipment, and chemical treatment methods at home and abroad were analyzed. Looking forward to the orchard flower and fruit thinning management technology, this paper puts forward that the orchard flower and fruit thinning will gradually develop towards automation, intelligence, and precision in the future, and puts forward development ideas and Countermeasures for comprehensively improving the orchard management level in China.
2021, 42 (11): 198-204.    doi: 10.13733/j.jcam.issn.20955553.2021.11.30