Deep Learning-Based Automated Detection of Tomato Leaf Diseases Using CNNs
A lightweight 17 layer convolutional neural network model enhanced by comprehensive data augmentation is proposed, effectively classifying nine prevalent tomato leaf diseases, providing farmers real time diagnostics with robust generalization across diverse field conditions and significant practical value for precision agriculture and food security.