Feng Ji

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About

Feng Ji is a leading researcher in smart agriculture and autonomous agricultural machinery, with a focus on precision navigation and control systems for unmanned farm operations. His most-cited work, "The Full-Field Path Tracking of Agricultural Machinery Based on PSO-Enhanced Fuzzy Stanley Model" (2022, 36 citations), addresses a critical challenge in the field: enabling agricultural robots to navigate and track paths across entire farm fields autonomously. By integrating particle swarm optimization (PSO) with a fuzzy logic-enhanced Stanley controller, Ji developed a robust solution that improves path tracking accuracy and adaptability in complex, real-world agricultural environments. This contribution directly supports the broader vision of unmanned farms and smart agriculture, where reliable, full-field navigation is essential for tasks like planting, spraying, and harvesting. Ji’s research bridges theoretical control algorithms with practical agricultural applications, earning recognition for its potential to reduce labor demands and increase operational efficiency. His work continues to influence the development of intelligent, autonomous systems that are transforming modern farming practices.