Jinming Zheng
Papers
2
Total Citations
21
H-Index
2
About
Jinming Zheng is a leading researcher at the intersection of agricultural robotics and artificial intelligence, with a primary focus on automating complex crop operations. His work addresses critical challenges in precision agriculture, particularly the development of intelligent systems for fruit recognition and robotic harvesting in occluded environments. Zheng’s landmark 2023 review, “A Comprehensive Review of Applications of Robotics and Artificial Intelligence in Agricultural Operations,” has garnered 19 citations and provides a foundational framework for understanding how automation and robotics are revolutionizing agricultural tasks from planting to harvesting. More recently, his 2025 study on “A lightweight keypoint detection model-based method for strawberry recognition and picking point localization in multi-occlusion scenes” introduces an innovative solution to the persistent problem of fruit occlusion in elevated strawberry stands. This work is notable for its focus on model lightweighting, enabling deployment on resource-constrained embedded devices carried by picking robots. Zheng’s contributions are shaping the next generation of efficient, real-time agricultural automation systems, with his research directly impacting the feasibility of robotic harvesting in complex, real-world field conditions.
Research Focus
Key Achievements
Top Papers
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