Papers
1
Total Citations
88
H-Index
1
About
Yaxin Ye is a leading researcher in precision agriculture and agricultural robotics, with a focus on intelligent perception and automated manipulation for orchard environments. His work centers on developing computer vision and robotic systems to address the complex challenges of fruit recognition, target localization, and automated harvesting or pruning. Ye’s major contributions include pioneering multi-target recognition algorithms for bananas and developing methods for automatic positioning of the inflorescence axis cutting point, directly tackling the noise disturbances—such as wind, variable lighting, and foliage occlusion—that plague real-world orchard operations. His highly cited 2021 paper on this topic has garnered 88 citations, reflecting its significance in advancing the field of agricultural automation. By integrating deep learning with robotic control, Ye has provided foundational solutions for bud-cutting and harvesting tasks, enabling more efficient and precise agricultural practices. His work not only enhances productivity but also reduces labor dependency, marking him as a key innovator at the intersection of robotics and sustainable farming.
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