Performance evaluation of semi-supervised learning frameworks for multi-class weed detection

• Main Authors: Li, Jiajia, Chen, Dong, Yin, Xunyuan, Li, Zhaojian
• Other Authors: School of Chemical and Biomedical Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Engineering; Precision weed management; Precision agriculture
• Online Access: https://hdl.handle.net/10356/181777
• Institution: Nanyang Technological University

Precision weed management (PWM), driven by machine vision and deep learning (DL) advancements, not only enhances agricultural product quality and optimizes crop yield but also provides a sustainable alternative to herbicide use. However, existing DL-based algorithms on weed detection are mainly deve...