A Multi-Class Deep Learning Architecture for Quality Classification and Formalin Contamination Detection in Horticultural Fruits
The adulteration of fresh horticultural produce with formaldehyde (formalin) and the rapid physiological decay of fruit remain persistent food-safety and economic problems within agricultural supply chains. Deep learning offers a non-destructive route to automated fruit-quality screening; however, the literature has la...