A compact convolutional neural network for plant disease management and fruit classification

A study in the International Journal of Computational Science and Engineering, introduces a new deep learning architecture called LightNet, designed to overcome the challenges of training deep learning models and revolutionize the agricultural sector. The study, focuses on plant disease management and fruit classification and addresses the normally high computational resource demands that have hindered the implementation of deep learning models on limited-resource devices for disease identification in images of leaves and fruit.

architecture challenges classification computational computer sciences convolutional neural network deep learning disease engineering international management network neural network normally science sector study training