Papers
1
Total Citations
32
H-Index
1
About
Dr. Xiao-Long Li is a leading figure in agricultural robotics, with a primary focus on the automation of fruit harvesting. His work is centered on the critical challenge of developing intelligent, efficient robots for standardized orchards, particularly for high-value crops like apples. Dr. Li’s major contribution lies in his comprehensive synthesis of the field, as demonstrated in his highly influential 2025 review, "Key technologies in apple harvesting robot for standardized orchards," which has already garnered 32 citations. This work systematically evaluates the technological landscape, establishing that deep learning algorithms significantly outperform traditional methods for apple detection, and that multi-source sensor fusion is essential for precise localization. He also highlights the critical role of advanced manipulator designs, such as multiple-arm and vacuum-based systems, in overcoming the complexities of non-destructive picking. By clearly mapping the innovations, persistent challenges, and future directions, Dr. Li’s research provides an indispensable roadmap for the next generation of agricultural engineers, accelerating the transition toward fully autonomous harvesting systems.
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