Design of control system of solid organic fertilizer spreading device based on BP neural network algorithm*

doi:10.12398/j.issn.2096-7217.2021.01.002

Journal of Intelligent Agricultural Mechanization (in Chinese and English) ›› 2021, Vol. 2 ›› Issue (1): 13-19.DOI: 10.12398/j.issn.2096-7217.2021.01.002

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Design of control system of solid organic fertilizer spreading device based on BP neural network algorithm^*

Pengjun Wang¹, Yongsheng Chen¹, Dongxia Sun², Aibing Wu¹, Yanjie Hao², Mingjiang Chen¹

1. Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing, 210014, China;
2. Binzhou Agricultural Machinery Research Institute, Binzhou, 256600, China

Received:2021-02-27 Online:2021-05-15 Published:2021-11-30
Corresponding author: Yongsheng Chen, Researcher, research direction: agricultural mechanization. E-mail: cys003@sina.com
About author:Pengjun Wang, Research Assistant, research direction: intelligent agricultural mechanization. E-mail: wpj8038@sina.com
Supported by:
*Special Fund for Basic Scientific Research of Chinese Academy of Agricultural Sciences (Y2019LM02—03); Shandong Key Research and Development Projects (2019GNC106114); Shandong Agricultural Machinery Equipment Innovation Plan (2018YF024)

Abstract

Abstract: In order to ensure that the amount of organic fertilizer applied in the field is accurately controllable and meets the needs of field crop growth, a solid organic fertilizer application control system based on BP neural network algorithm is designed. The supporting equipment of the system adopts a solid organic fertilizer spreader with chain plate and fertilizer baffle to control the amount of fertilizer. The control system is developed based on supervisory control and data acquisition (SCADA), and the human-computer interaction is realized by the touch screen. The basic data of the control system is provided by the actual demand for basic fertilizer in farmland and input into the system through the input box. According to the speed of the vehicle, the momentum BP neural network algorithm is used to first control the opening size of the fertilizer blocking device and provide an input value for the rotating speed control of the fertilizer chain plates. Finally, the elastic BP neural network algorithm is used to control the rotating speed of the fertilizer chain plates. The experimental results show that the control system can change the opening size of the fertilizer blocking device and the speed of the chain plate of the fertilizer spreader in real time according to the set basic fertilizer demand and the traveling speed of the vehicle, and the control deviation of the fertilizer amount is less than 9%.

Key words: solid organic fertilizer spreader, precision agriculture, SCADA, BP neural network

CLC Number:

Pengjun Wang, Yongsheng Chen, Dongxia Sun, Aibing Wu, Yanjie Hao, Mingjiang Chen. Design of control system of solid organic fertilizer spreading device based on BP neural network algorithm^*[J]. Journal of Intelligent Agricultural Mechanization (in Chinese and English), 2021, 2(1): 13-19.

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Design of control system of solid organic fertilizer spreading device based on BP neural network algorithm^*

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