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

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

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

Plant Disease Pathology: Causes, Machine Learning-based Detection and Sustainable Management Strategies

Development of a Pomegranate Fruit Disease Detection and Classification Model using Deep Learning