Machine Learning-based Automated Detection and Multi-class Classification of Faba Bean Leaf Diseases using a VGG16 based Deep Convolutional Neural Network
A machine learning-based automated framework for multi-class classification of Faba bean leaf diseases using transfer learning with the VGG16 convolutional neural network demonstrates the effectiveness of transfer learning for plant disease detection and highlights its potential for scalable, automated crop health monitoring in precision agriculture.