Standalone SqueezeNet for Accurate and Resource-Efficient Tomato Leaf Disease Classification
In agricultural productivity, there is a decrease in crop yield due to tomato leaf disease. An early detection system with high accuracy is needed to address this issue. This study evaluates the performance of a standalone SqueezeNet-based Convolutional Neural Network (CNN) architecture for identifying five tomato leaf...