Fast recognition model of <i>Fusarium</i> in agaric based on hyperspectral imaging

Agaric is a dual-purpose fungus for medicine and food, which considered healthcare product. However, in cultivation production, agaric contaminated by variety of molds, resulting decline quality yield. Fusarium, as one the poisonous filamentous fungi, seriously threatens healthy development industry even affects human health. Therefore, it necessary to establish timely accurate identification rapid detection pathogens crops. In this study, visible near infrared hyperspectral imaging was used obtain image spectral information, best classification model selected established quickly distinguish Fusarium oxysporum from verticillioides, also successfully applied preliminary infection. This approach could provide nondestructive manner pathogenic fungi contamination agaric.