Three-Dimensional Structure Measurement for Potted Plant Based on Millimeter-Wave Radar

Zhihong Zhang, Chaowei Huang, Xing Xu, Lizhe Ma, Zhou Yang and Jieli Duan ()
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Zhihong Zhang: College of Engineering, South China Agricultural University, Guangzhou 510642, China
Chaowei Huang: College of Engineering, South China Agricultural University, Guangzhou 510642, China
Xing Xu: College of Engineering, South China Agricultural University, Guangzhou 510642, China
Lizhe Ma: College of Engineering, South China Agricultural University, Guangzhou 510642, China
Zhou Yang: College of Engineering, South China Agricultural University, Guangzhou 510642, China
Jieli Duan: College of Engineering, South China Agricultural University, Guangzhou 510642, China

Agriculture, 2023, vol. 13, issue 11, 1-12

Abstract: Potted plant canopy extraction requires a fast, accurate, stable, and affordable detection system for precise pesticide application. In this study, we propose a new method for extracting three-dimensional canopy information of potted plants using millimeter-wave radar and evaluate the system on plants in static, rotating, and rotating-while-spraying states. The position and rotation speed of the rotating platform are used to compute the rotation–translation matrix between point clouds, enabling the multi-view point clouds to be overlaid on the world coordinate system. Point cloud extraction is performed by applying the Density-Based Spatial Clustering of Applications with Noise algorithm (DBSCAN), while an Alpha-shape algorithm is used for three-dimensional reconstruction of the canopy. Our measurement results for the 3D reconstruction of plants at different growth stages showed that the reconstruction model has higher accuracy under the rotation condition than that under the static condition, with average relative errors of 41.61% and 10.21%, respectively. The significant correlation between the sampling data with and without spray reached 0.03, indicating that the effect of the droplets on radar detection during the spray process can be neglected. This study provides guidance for plant canopy detection using millimeter-wave radar for advanced agricultural informatization and automation.

Keywords: millimeter-wave radar; canopy volume; droplet interference; DBSCAN; alpha-shape (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: 2023
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