Benchmarking Deep Learning Models for Multi-Class Fruit Quality 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, t