A multivariate algorithm for identifying contaminated peanut using visible and near-infrared hyperspectral imaging
This study has practical implications for the food industry and future research on deep learning optimization.PMID:37722342 | DOI:10.1016/j.talanta.2023.125187
Source: Talanta - Category: Chemistry Authors: Zhen Guo Jing Zhang Jiashuai Sun Haowei Dong Jingcheng Huang Lingjun Geng Shiling Li Xiangzhu Jing Yemin Guo Xia Sun Source Type: research
More News: Aspergillus | Chemistry | Genetics | Learning | Peanuts | Study | Universities & Medical Training