Hai Qing Yang

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About

Hai Qing Yang is a leading figure in the application of non-destructive optical sensing for precision agriculture, with a particular focus on postharvest quality assessment. His research centers on using visible and near-infrared (VIS-NIR) spectroscopy to determine critical fruit properties in situ, directly addressing the agricultural need for real-time, non-invasive monitoring. In his highly cited 2011 study, Yang pioneered the use of VIS-NIR spectroscopy combined with PLSR calibration to predict the optimal harvest time of cherry tomatoes. This work demonstrated that a mobile, fibre-type spectrometer could accurately estimate fruit maturity without physical contact, offering growers a practical tool to optimize picking schedules and reduce waste. With 18 citations, this foundational paper has influenced subsequent research in smart farming and automated quality control. Yang’s contributions bridge the gap between laboratory spectroscopy and field-ready agricultural technology, making him a key innovator in the development of portable sensing solutions for the fresh produce industry.