Machine Learning Algorithms for Early Detection of Legume Crop Disease

Leveraging Inception-V3 and Transfer Learning for Early Detection and Classification of Cotton Crop Diseases

An Optimised RFCN Approach for Accurate Multi-disease Detection in Paddy Crops

Hyperspectral Imaging for Disease Detection in Wheat Crops: A Comprehensive Survey

The Role of Deep Learning in Enhancing Crop Sustainability: A Study on AlexNet’s Application in Detecting Bean Leaf Disease

Identification of  Diseases in Tea Crops using a Computational Convolutional Neural Network Model for Enhanced Crop Production

Leveraging Artificial Intelligence for Disease Diagnosis in Agricultural Crops: A Review

Dual-encoder Variational Autoencoder for Detection and Classification of Plant Leaf Diseases

Artificial Intelligence based Precise Disease Detection in Soybean using Real Time Object Detectors