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Design and testing of an intelligent variable-rate spraying system based on LiDAR-guided application.

Authors :
Qiao, Baiyu
Han, Leng
Wang, Zhichong
Li, Yangfan
Wang, Lingxiao
Han, Hu
Liu, Yajia
He, Xiongkui
Source :
Crop Protection (02612194); Oct2024, Vol. 184, pN.PAG-N.PAG, 1p
Publication Year :
2024

Abstract

Traditional plant protection machinery cannot apply pesticides according to the actual growth demand of crops, which causes a lot of pesticide waste and serious environmental pollution. Based on this, an intelligent variable-rate application system based on 3D LiDAR (light detection and ranging) scanning and PWM (pulse-width modulation) control for maize canopy was developed in this paper. After completing the performance testing, the system was mounted on a lightweight high-clearance self-propelled sprayer by remote controlling with an operating width of 6.0 m, and a ground gap of 2.0 m. And the actual operational performance of the sprayer showed that the prediction error of LiDAR for plant height was within 10%, which illustrated the accuracy of the detection system and the reliability of the variable application based on the plant height change. And the variable-rate system could adjust the spray volume in real-time according to the plant height change. The penetration rate of the upper, middle, and bottom layers maintained a relatively stable state (upper > middle > bottom) at variable-rate application and could reach the normal application level. This study can provide new ideas for efficient pests and diseases control of high stalk crops, especially suitable for small fields, and gives a reference for the structural design of new precise variable-rate application machinery and performance optimization of efficient application technology. • A complete intelligent application system has been developed. • A reliable decision model of application quantity is established. • The intelligentsprayer meets the spraying technology requirements. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02612194
Volume :
184
Database :
Supplemental Index
Journal :
Crop Protection (02612194)
Publication Type :
Academic Journal
Accession number :
178998860
Full Text :
https://doi.org/10.1016/j.cropro.2024.106874