Author
Listed:
- Jianguo Wu
(Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
College of Mechanical and Electrical Engineering, Xinjiang Agricultural University, Urumqi 830052, China)
- Chengqian Li
(Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China)
- Xiaoyong Pan
(Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China)
- Xiu Wang
(Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China)
- Xueguan Zhao
(Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China)
- Yuanyuan Gao
(College of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China)
- Shuo Yang
(Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China)
- Changyuan Zhai
(Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
College of Mechanical and Electrical Engineering, Xinjiang Agricultural University, Urumqi 830052, China
National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China)
Abstract
Ultrasonic feedback energy is affected by the variety, planting, and growth state of crops; therefore, it is difficult to find applications for this energy in precision agriculture systems. To this end, an ultrasonic sensor was mounted in a spray boom height detection system. Winter wheat was used as the test object to obtain feedback energy values for the spray boom height from the top of the wheat in the field during six critical growth stages: the standing stage, the jointing stage, the booting stage, the heading stage, the filling stage, and the maturity stage. The relationship between the actual value of the height from the spray boom at the top of the wheat (H abw ) and the detected value of the height from the spray boom at the top of the wheat (H dbw ) was analyzed. A spray boom height detection model based on the ultrasonic sensor during the full growth cycle of wheat was determined. Field validation tests showed that the applicability of the spray boom height detection distance (D d ) of the spray boom height detection model proposed in the present study was 450~950 mm. Within the applicable D d range, the detection error of the detection model was ≤50 mm during the full growth cycle. This study provides a method for constructing a boom height detection model based on the whole growth cycle of wheat, which improves the reliability and accuracy of ultrasonic boom height detection for different wheat growth stages. The proposed method solves the problem of low accuracy of repeated detection of low-cost ultrasonic sensors in different environments and can provide technical support for improving field applications of the boom height control system based on ultrasonic sensors.
Suggested Citation
Jianguo Wu & Chengqian Li & Xiaoyong Pan & Xiu Wang & Xueguan Zhao & Yuanyuan Gao & Shuo Yang & Changyuan Zhai, 2023.
"Model for Detecting Boom Height Based on an Ultrasonic Sensor for the Whole Growth Cycle of Wheat,"
Agriculture, MDPI, vol. 14(1), pages 1-22, December.
Handle:
RePEc:gam:jagris:v:14:y:2023:i:1:p:21-:d:1305924
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