Reports Outline Imaging Technology Findings from Sichuan University (Determination of Malathion Content In Sorghum Grains Using Hyperspectral Imaging Technology Combined With Stacked Machine Learning Models).

A study conducted at Sichuan University in Yibin, People's Republic of China, focused on detecting pesticide residues in sorghum grains using hyperspectral imaging technology and machine learning models. The research combined various algorithms to accurately predict pesticide residues in sorghum samples, with the stacked ensemble learning model showing the best performance. The study highlights the potential of hyperspectral imaging combined with machine learning for precise analysis of pesticide residues in food products, offering valuable insights for future applications in food safety. [Extracted from the article]