Shanxi Agricultural University | China
Dr. Shilin Li is an emerging researcher in agricultural engineering and artificial intelligence, with a strong focus on deep learning–based computer vision for smart agriculture. His research centers on lightweight and efficient target detection models for complex field environments, particularly fruit detection under natural conditions. As first author, he has published high-quality SCI-indexed journal articles in Computers and Electronics in Agriculture and Agriculture, demonstrating innovation through improved YOLO architectures and attention-based neural networks. His work contributes to advancing intelligent agricultural perception systems, balancing accuracy and computational efficiency, and shows clear relevance to precision agriculture, automated harvesting, and real-world AI deployment.
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