S. I. Harlapur

Deep convolutional neural network-based automated identification and classification of mungbean foliar diseases

Five state-of-the-art deep convolutional neural network architectures are evaluated on a large-scale, field-acquired mungbean dataset that captures real-world variability across environmental conditions and disease severity levels, distinguishing it from controlled laboratory studies.