Yukai Ye
Papers
2
Total Citations
29
H-Index
2
About
Yukai Ye is a researcher in agricultural robotics and intelligent automation, with a focus on precision harvesting and selective weeding. His work bridges computer vision, path planning, and mechanical design to address critical challenges in sustainable agriculture. In his highly cited 2023 paper, "Continuous picking of yellow peaches with recognition and collision-free path," Ye developed a system that integrates real-time fruit recognition with obstacle-avoidance trajectory planning, enabling robots to harvest delicate crops efficiently and without damage. This work has garnered 17 citations for its practical impact on fruit-picking automation. Building on this, his 2024 study, "In different weed distributions, the dynamic coverage algorithm for mechanical selective weeding robot," introduced an adaptive algorithm that optimizes weeding paths based on varying weed patterns, reducing herbicide use while maintaining crop health. With 12 citations, this paper demonstrates Ye’s commitment to scalable, eco-friendly solutions. His contributions are notable for their direct applicability to real-world farming, offering a pathway toward more autonomous, precise, and sustainable agricultural practices.
Research Focus
Key Achievements
Top Papers
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