Sahil Sher

A Review of Machine Learning and Deep Learning Techniques for Tomato Leaf Disease Classification

A Deep Learning-Based Framework for Tomato Leaf Disease Classification Using Image Preprocessing and Convolutional Neural Networks

Tomato leaf diseases can reduce crop productivity and quality, motivating automated image-based classification systems. This paper presents an experimentally evaluated convolutional neural network (CNN) framework for ten-class tomato leaf disease classification. The final reported model is a custom CNN consisting of th...

A Review of Machine Learning and Deep Learning Techniques for Automated Tomato Leaf Disease Detection

A narrative review examines the progression from handcrafted feature-based ML methods to convolutional neural networks (CNNs), transfer learning, lightweight architectures, attention mechanisms, and recent model-compression and multi-task approaches.