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Development of a PWM precision spraying Controller for Unmanned Aerial Vehicles

Journal of Bionic Engineering 2010年第3期7卷 276-283页

作者： W.Clint Hoffmann Brad Fritz USDA-ARS College Station

This paper presents a new Pulse Width Modulation (PWM) controller for Unmanned Aerial Vehicle (UAV) precisionsprayer for agriculture using a TL494 fixed-frequency pulse width modulator together with a data acquisition board and developedsoftware. An UAV can be remotely controlled or flown autonomously by pre-programmed flight plans. The PWMcontroller was implemented through the guidance system on the UAV with control commands sent between the UAV helicopterand the ground control station via a wireless telemetry system. The PWM controller was tested and validated using LabVIEW8.2. Several analyses were performed in a laboratory to test different control signals. The results show that the PWM controllerhas promise as a higher precision technique for spray applications, which will improve efficiency of pesticide application,especially in crop production areas.

关键词： PWM controller TL494 precision spraying UAV

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precision orchard sprayer based on automatically infrared target detecting and electrostatic spraying techniques

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International Journal of Agricultural and Biological Engineering 2011年第1期4卷 35-40页

作者： He Xiongkui Zeng Aijun Liu Yajia Song Jianli College of Science China Agricultural UniversityBeijing 100193China

There is an urgent need for new chemical application techniques and sprayers in Chinese orchard spraying.A new tractor-mounted automatic target detecting electrostatics,and air-assisted orchard sprayer was designed and developed to meet the demand of chemical pest control in orchards.This sprayer light weighted,highly efficient,reduces pesticide use and is friendly to the environment.The techniques of automatic target detecting,electrostatics,and air-assisted spraying were combined in this system.The electrostatically charged droplets are projected toward the target by the assistance of an air stream that increases the droplets penetration within canopy.Experimental results show that the new automatic target detecting orchard sprayer with an infrared sensor can save more than 50%to 75%of pesticides,improve the utilization rate(over 55%),control efficiency,and significantly reduce environmental pollution caused by the pesticide application.At the same time the key technological problems related to air-assisted low volume and electrostatic spraying were solved.

关键词： precision spraying orchard sprayer automatic target plant detection air assisted spray electrostatic spray

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Recognition of cotton growth period for precise spraying based on convolution neural network

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Information Processing in Agriculture 2021年第2期8卷 219-231页

作者： Shanping Wang Yang Li Jin Yuan Laiqi Song Xinghua Liu Xuemei Liu College of Mechanical&Electronic Engineering Shandong Agricultural UniversityTai’an 271018China Shandong Provincial Key Laboratory of Horticultural Machinery and Equipment Tai’an 271018China

Dynamic acquisition of crop morphology is beneficial to real-time variable decision of precise spraying operations in fields.However,the existing spraying quantity regulation has high tolerance on the statistical characteristics of regional morphology,so expensive LiDAR and ultrasonic radar can’t make full use of their high accuracy,and can reduce decision speed because of too much detail of branches and leaves.Therefore,designing a novel recognition system embedded machine learning with low-cost monocular vision is more feasible,especially in China,where the agricultural implements are medium sizes and cost-sensitive.In addition,we found that the growth period of crops is an important reference index for guiding spraying.So,taking cotton as a case study,a cotton morphology acquisition by a single camera is established,and a cotton growth period recognition algorithm based on Convolution Neural Network(CNN)is proposed in this paper.Through the optimization process based on confusion matrix and recognition efficiency,an optimized CNN model structure is determined from 9 different model structures,and its reliability was verified by changing training sets and test sets many times based on the idea of kfold test.The accuracy,precision,recall,F1-score and recognition speed of this CNN model are 93.27%,95.39%,94.31%,94.76%and 71.46 ms per image,respectively.In addition,compared with the performance of VGG16 and AlexNet,the convolution neural network model proposed in this paper has better performance.Finally,in order to verify the reliability of the designed recognition system and the feasibility of the spray decision-making algorithm based on CNN,spraying deposition experiments were carried out with 3 different growthperiods of cotton.The experiments’results validate that after the optimal spray parameters were applied at different growth periods respectively,the average optimum index in 3 growth periods was 42.29%,which was increased up to 62.24%than the operations without distinguishing growth periods.

关键词： precision spraying Growth period of cotton Target perception Convolution neural network Image classification

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Study on the influencing factors of adsorption rate of high voltage electrostatic spray system

Study on the influencing factors of adsorption rate of high ...

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第40届中国控制会议

作者： Lin Zhen Liang Shengkai Xie Jinye Pan Jiazhen Institute of Technology Sanya University of Sanya

The traditional plant protection spray operation in China is mainly manual, and the spraying method of spraying liquid is widely used. The spraying method is serious, the utilization rate of pesticide is poor, the work efficiency is low, and the labor intensity of operators is large. The effect of ordinary spray on plants is not good. Electrostatic spraying technology improves the existing pesticide use, improves the efficiency of use and reduces environmental pollution. Electrostatic spray also has efficiency problems. It is found that spray parameters have great influence on droplet deposition. In this paper, the parameters combination of electrostatic spray precision spraying is studied. The principle and characteristics of electrostatic spray are studied.The deposition rate and charge to mass ratio of electrostatic spray under different voltage, water pressure parameters and the ratio of charge to mass are compared with experimental results. The experimental results show that when the spray pressure is 0.60 MPa, the best performance is for the 10 collocation and optimization of electrostatic spray in practical application.

关键词： Electrostatic spraying precision spraying Deposition rate Charge to mass ratio

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