Reducing Complexity in Leaf Disease Classification Using a Lightweight Convolutional Neural Network
A lightweight Convolutional Neural Network model inspired by the MobileNet architecture, designed to classify various plant leaf diseases efficiently, is proposed, providing a robust, lightweight, and efficient tool for early disease detection, with the potential to enhance crop management and reduce economic losses in...