首页|Studies from Shihezi University Have Provided New Data on Machine Learning (Fusi on Features of Microfluorescence Hyperspectral Imaging for Qualitative Detection of Pesticide Residues In Hami Melon)
Studies from Shihezi University Have Provided New Data on Machine Learning (Fusi on Features of Microfluorescence Hyperspectral Imaging for Qualitative Detection of Pesticide Residues In Hami Melon)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning.According to news reporting originating in Shihezi, People’s Rep ublic of China, by NewsRx journalists, research stated, “Pesticide residues are identified as a significant food safety issue in Hami melons, and their rapid an d accurate detection is deemed critical for ensuring public health.In response to the cumbersome procedures with existing chemical detection methods, this stud y explored the potential of identifying different pesticide residues in Hami mel on by microfluorescence hyperspectral imaging (MF-HSI) technology combined with machine learning.”
ShiheziPeople’s Republic of ChinaAsi aAgrochemicalsCyborgsEmerging TechnologiesMachine LearningPesticidesTechnologyShihezi University
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