Hyperspectral imaging + interpretable deep learning for mycotoxin detection (corn grits)
A new study applies hyperspectral imaging with an interpretable deep-learning approach to non-destructively detect multiple mycotoxins in corn grits. The practical relevance is food and feed safety: methods like this can reduce the cost and delay of lab testing while making model decisions more explainable to regulators and operators.