Papers
1
Total Citations
2
H-Index
1
About
Jiye Zheng is a researcher whose work bridges the fields of agricultural engineering and machine vision, with a particular focus on the automation of post-harvest processing. Zheng’s most notable contribution is the design of an automatic grading system for *Agaricus bisporus* mushrooms, a project that leverages computer vision to sort produce by quality, size, and defects. This system, detailed in a 2019 paper, addresses a critical bottleneck in the mushroom industry—replacing manual, error-prone sorting with a fast, objective, and scalable solution. While the paper has garnered 2 citations to date, its practical implications are significant: it demonstrates how low-cost imaging and algorithmic analysis can be applied to a niche agricultural product, offering a template for similar systems in other crops. Zheng’s work exemplifies the growing trend of precision agriculture, where engineering meets biology to reduce waste and improve food quality. Though early in their career, Zheng has laid a foundation for further research in automated grading, with potential to impact both small-scale farms and large processing facilities.
Research Focus
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Top Papers
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