Author
Listed:
- Yangjie Shi
(School of Mechanical Engineering, Yangzhou University, Yangzhou 225000, China)
- Xiaobo Xi
(School of Mechanical Engineering, Yangzhou University, Yangzhou 225000, China)
- Hao Gan
(Department of Biosystems Engineering and Soil Science, University of Tennessee, Knoxville, TN 37996, USA)
- Xiang Shan
(School of Mechanical Engineering, Yangzhou University, Yangzhou 225000, China)
- Yifu Zhang
(School of Mechanical Engineering, Yangzhou University, Yangzhou 225000, China)
- Hui Shen
(School of Mechanical Engineering, Yangzhou University, Yangzhou 225000, China)
- Ruihong Zhang
(School of Mechanical Engineering, Yangzhou University, Yangzhou 225000, China)
Abstract
Current approaches to topdressing and weeding operations for rice cultivation present several disadvantages, such as poor precision, low efficiency, serious environmental pollution, and so on. This paper presents a row-controlled fertilizing–weeding machine to improve the precision of fertilizing and weeding operations and to reduce the heavy pollution associated with rice cultivation. A proportional–integral–derivative algorithm was adopted to realize accurate fertilization control, and an automatic driving system for agricultural machinery based on BeiDou navigation was used for accurate row-controlled operation. Accuracy testing and field experiments were carried out. The results show that the fertilization control system can stabilize the speed to within 0.55 s of the desired speed with a standard deviation of around 0.32 r·min −1 . The row-controlled operation ensures the lateral deviation is within ± 5 cm at operating speeds below 5 km·h −1 . The high uniformity and accuracy of fertilization meet agronomic requirements and rice cultivation standards, and the weeding performance is acceptable at working speeds below 5 km·h −1 .
Suggested Citation
Yangjie Shi & Xiaobo Xi & Hao Gan & Xiang Shan & Yifu Zhang & Hui Shen & Ruihong Zhang, 2021.
"Design and Experiment of Row-Controlled Fertilizing–Weeding Machine for Rice Cultivation,"
Agriculture, MDPI, vol. 11(6), pages 1-15, June.
Handle:
RePEc:gam:jagris:v:11:y:2021:i:6:p:527-:d:569810
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