The fluorescence spectrum combined with a broad learning system to characterize the content of difenoconazole in cabbage

This study develops a fluorescence spectroscopy and machine learning method for difenoconazole detection in cabbage. It establishes qualitative models, selects feature wavelengths, and builds quantitative predictors.