利用便捷式可见-近红外光谱仪和机器学习分辨霉变小麦及霉变程度

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Using a Portable Visible-near Infrared Spectrometer and Machine Learning to Distinguish and Quantify Mold Contamination in Wheat

JIA Wenshen, LYU Haolin, ZHANG Shang, QIN Yingdong, ZHOU Wei

Smart Agriculture . 2024, (1): 89 -100 . DOI: 10.12133/j.smartag.SA202311032

ISSN 2096-8094 CN 10-1681/S
Aboard PDC: C9452
Authority in Charge: Ministry of Agriculture and Rural Affairs of the People’s Republic of China
Sponsor: Agricultural Information Institute, Chinese Academy of Agricultural Sciences

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