Evaluation of a Convolutional Neural Network-based Model for Accurate Detection and Multi-class Classification of Economically Significant Soybean Pests using RGB Image Data

Application of Convolutional Neural Networks in the Detection and Classification of Fish Diseases using Image Analysis

A Transfer Learning Approach for Leaf Image based Classification of Healthy and Diseased Leaves

Deep Learning-based Classification of Tomato Leaf Diseases

A Deep Residual Learning Framework using ResNet-152 for Accurate Multi-class Classification of Shrimp Diseases

Deep Learning based Image Processing Solutions in Food Engineering: A Review

A Deep Convolutional Neural Network for Multi-class Fish Disease Classification using VGGNet-19 Architecture

Computer Vision and Machine Learning in Paddy Diseases Identification and Classification: A Review

Potato Leaf Disease Classification using Polivr Model: A Novel Approach

A Hybrid Deep Learning Framework Integrating Adaptive Patch Decomposition and Graph-based Disease Correlation Learning for Accurate Tomato Leaf Disease Classification