Xuegeng Chen

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About

Xuegeng Chen is a researcher at the forefront of agricultural robotics and intelligent machinery, with a focus on automating labor-intensive tasks in specialty crop farming. His work centers on the fusion of sensing technology with agricultural equipment to enhance precision and efficiency in orchard management. Chen’s most notable contribution is the design of a five-degree-of-freedom pruning manipulator for jujube trees, a novel solution to the high labor intensity and poor working conditions of manual pruning. This work, published in 2022, has already garnered 19 citations, underscoring its practical relevance. He has also advanced the field of crop row detection for agricultural robots, authoring a comprehensive 2025 review that evaluates methods, performance indicators, and scene adaptability—a key reference for autonomous navigation systems. Additionally, his 2020 review on the integration of agricultural machinery and sensing technology has received 5 citations, highlighting his role in shaping the research agenda for agricultural modernization. Chen’s contributions are instrumental in bridging the gap between mechanical design and intelligent sensing, driving the next generation of autonomous farming solutions.