Papers
2
Total Citations
40
H-Index
2
About
Xuexin Jia is a leading researcher in agricultural robotics, with a primary focus on intelligent harvesting systems for fruit crops. Her work bridges computer vision and mechanical engineering to address the critical challenges of automated fruit picking. Jia’s most notable contribution is the development of a tomato recognition and localization method using an improved YOLOv5n-seg model combined with binocular stereo vision (2023, 28 citations). This work significantly reduces neural network complexity while enhancing the accuracy of fruit detection and spatial positioning—a key bottleneck in real-world harvesting robots. Complementing this, her study on the mechanical properties of tomatoes (2023, 12 citations) provides essential data for designing end-effectors that can grasp delicate fruits without damage. By systematically characterizing tomato physical properties, Jia enables the creation of adaptive grippers that balance firmness and gentleness. Her research has direct implications for reducing labor costs and improving harvest efficiency in greenhouse and field environments. With a growing citation impact, Jia is establishing herself as a pivotal figure in precision agriculture, where her integrated approach—combining lightweight deep learning models with biomechanical insights—sets a new standard for intelligent, damage-free fruit harvesting.
Research Focus
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Top Papers
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