Harvesting Route Detection and Crop Height Estimation Methods for Lodged Farmland Based on AdaBoost

Yanming Li (), Yibo Guo, Liang Gong and Chengliang Liu
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Yanming Li: School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Yibo Guo: School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Liang Gong: School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Chengliang Liu: School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

Agriculture, 2023, vol. 13, issue 9, 1-18

Abstract: Addressing the challenge of the current harvester route detection method’s reduced robustness within lodging-affected farmland environments and its limited perception of crop lodging, this paper proposes a harvesting operation image segmentation method based on SLIC superpixel segmentation and the AdaBoost ensemble learning algorithm. This segmentation enables two essential tasks. Firstly, the RANSAC algorithm is employed to extract the harvester’s operational route through straight-line fitting from the segmented image. Secondly, the method utilizes a 3D point cloud generated by binocular vision, combined with IMU information for attitude correction, to estimate the height of the harvested crop in front of the harvester. Experimental results demonstrate the effectiveness of this method in successfully segmenting the harvested and unharvested areas of the farmland. The average angle error for the detected harvesting route is approximately 1.97°, and the average error for crop height detection in the unharvested area is around 0.054 m. Moreover, the algorithm exhibits a total running time of approximately 437 ms. The innovation of this paper lies in its simultaneous implementation of two distinct perception tasks, leveraging the same image segmentation results. This approach offers a robust and effective solution for addressing both route detection and crop height estimation challenges within lodging-affected farmland during harvesting operations.

Keywords: route detection; crop height estimation; lodged farmland (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
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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