Wujun Che

Papers

Total Citations

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About

Wujun Che is a researcher at the forefront of precision agriculture and computer vision, with a primary focus on developing automated solutions for greenhouse crop harvesting. His most notable contribution is the creation of SN-YOLO, an innovative rotation detection method specifically designed to identify tomato fruits in complex greenhouse environments. This work addresses critical challenges in vision-guided robotic harvesting, including variable lighting conditions and background clutter that have historically hindered automated agricultural systems. While his research is still emerging, with his flagship paper accumulating 3 citations since 2025, Che's work represents a significant step toward practical, real-world deployment of agricultural robots. By improving the accuracy and robustness of fruit detection under natural conditions, his research directly supports the growing need for labor-efficient, automated harvesting solutions. Che's contributions are particularly valuable as they bridge the gap between computer vision algorithms and agricultural engineering, offering a promising pathway for the next generation of intelligent farming systems that can operate reliably in unstructured environments.