Jingxuan Xiang

Papers

Total Citations

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About

Dr. Jingxuan Xiang is a rising researcher in agricultural automation and machine vision, with a primary focus on intelligent sorting systems for post-harvest produce. Their most-cited work, "Tomato Sorting System Based on Machine Vision" (2024, 13 citations), addresses a critical bottleneck in the fresh produce industry: the inefficiency and subjectivity of manual quality grading. By developing an automated system that leverages computer vision to assess tomato quality, Dr. Xiang directly tackles the challenge of enhancing market competitiveness and profitability. This contribution is particularly notable for its practical application, offering a scalable solution to reduce labor dependency and improve sorting accuracy. While still early in their career, Dr. Xiang’s work has already garnered attention for bridging the gap between advanced imaging algorithms and real-world agricultural needs. Their research holds significant promise for transforming supply chain logistics in horticulture, with potential extensions to other fruit and vegetable grading tasks. Dr. Xiang’s dedication to solving tangible industry problems positions them as an emerging voice in precision agriculture and smart farming technologies.