Experiment of Canopy Leaf Area Density Estimation Method Based on Ultrasonic Echo Signal

Mingxiong Ou (), Tianhang Hu, Mingshuo Hu, Shuai Yang, Weidong Jia, Ming Wang, Li Jiang, Xiaowen Wang and Xiang Dong
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Mingxiong Ou: School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
Tianhang Hu: School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
Mingshuo Hu: School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
Shuai Yang: School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
Weidong Jia: School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
Ming Wang: School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
Li Jiang: School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
Xiaowen Wang: School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
Xiang Dong: State Key Laboratory of Soil-Plant-Machinery System Technology, Chinese Academy of Agricultural Mechanization Sciences, Beijing 100083, China

Agriculture, 2022, vol. 12, issue 10, 1-14

Abstract: Variable-rate spray systems with canopy leaf area density information detection are an important approach to reducing pesticide usage in orchard management. In order to estimate the canopy leaf area density using ultrasonic sensors, this article proposed three parameter model equations based on ultrasonic echo peaks for canopy leaf area density estimation and verified the accuracy of the three parameter model equations using laboratory-simulated canopy and outdoor tree experiments. The orthogonal regression statistics results from the laboratory-simulated canopy experiment indicated that parameter V c is more suitable for canopy leaf area density estimation compared to parameter V a and V b when the density ranges from 0.54 to 5.4 m 2 m − 3 . The model equation from parameter V c has minor systematic errors, and the predicted and observed values of parameter V c have good agreement with the experimental conditions. The laboratory-simulated canopy and outdoor tree canopy leaf area density verification experiments of parameter V c were carried out, and the results indicated that the absolute value of the mean relative error is 5.37% in the laboratory-simulated canopy and 2.84% in outdoor tree experiments. The maximum absolute value of the relative error is 8.61% in the laboratory-simulated canopy and 14.71% in the outdoor tree experiments, and the minimum absolute value of the relative error is 3.21% in the laboratory-simulated canopy and 0.56% in the outdoor tree experiments. The laboratory-simulated canopy leaf area density verification results showed that the mean relative errors under canopy leaf area density 0.98 and 4.92 m 2 m − 3 conditions are 6.29% and 5.82%, respectively, which is larger than the mean relative error under 2.95 m 2 m − 3 ; nevertheless, these results proved that this model equation is applicable for canopy information detection and advanced pesticide application development in future.

Keywords: ultrasonic sensor; canopy leaf area density; ultrasonic echo signal; verification experiment (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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