Rapid quantitative analysis of adulterated rice with partial least squares regression using hyperspectral imaging system
Journal of the Science of Food and Agriculture2019Vol. 99(12), pp. 5558–5564
Citations Over TimeTop 11% of 2019 papers
Lianbo Guo, Yunxin Yu, Hanyue Yu, Yun Tang, Jun Li, Yu Du, Yanwu Chu, Shixiang Ma, Yuyang Ma, Xiaoyan Zeng
Abstract
These results demonstrate that VNIR hyperspectral imaging system is an effective tool for rapidly quantifying and visualizing the adulterated levels of rice. © 2019 Society of Chemical Industry.
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