Papers
1
Total Citations
4
H-Index
1
About
Y Mi is a researcher focused on intelligent agricultural robotics and automation systems, with a particular emphasis on addressing challenges in grassland animal husbandry. Their major contribution lies in the design and implementation of an intelligent control system for grazing robotic vehicles, tailored to the complex and labor-scarce environments of Inner Mongolia grasslands. This work integrates software and hardware solutions to enhance the efficiency and autonomy of livestock management, directly tackling issues such as wide livestock ranges and workforce shortages. While their most-cited paper, "Research and Implementation of Intelligent Control System for Grassland Grazing Robotic Vehicle" (2023), has garnered 4 citations, it represents a foundational step in applying robotics to sustainable pastoral practices. Y Mi’s research bridges engineering and ecological management, offering scalable solutions for modernizing traditional herding. Their work is notable for its practical application in real-world grassland settings, contributing to the growing field of precision agriculture and autonomous systems in challenging terrains.
Research Focus
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Top Papers
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