Cotton Stubble Detection Based on Improved YOLOv3

• Published in: Agronomy (Basel) Vol. 13; no. 5; p. 1271
• Main Authors: Yang, Yukun, Li, Jingbin, Nie, Jing, Yang, Shuo, Tang, Jiaqiang
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 28.04.2023
• Subjects: Accuracy; Algorithms; Analysis; Cameras; Cotton; Cotton industry; cotton stubble; Crops; Deep learning; Energy consumption; Harvesting; Labeling; Machine learning; machine vision; Navigation; navigation line extraction; Neural networks; Noise reduction; Object recognition; Real time; residual film recovery; Stubble; Support vector machines; Target detection; Technical services; Weeds; China

The stubble after cotton harvesting was used as the detection object to achieve the visual navigation operation for residual film recovery after autumn. An improved (You Only Look Once v3) YOLOv3-based target detection algorithm was proposed to detect cotton stubble. First, field images of residual...