Performance Analysis of Various Deep Transfer Learning Models for Bacterial Blight Disease Detection and Classification in Pomegranate Fruits

A Comparative Study of Convolutional Neural Network based Transfer Learning Models for Plant Disease Detection

Transfer Learning-based Areca Nut (Areca catechu) Disease Detection using CNN and SVM Approaches with ResNet-50 for Improved Deep Learning Performance

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

Deep Learning VGG19 Model for Precise Plant Disease Detection

Acceptance of an E-learning Module on Climate-smart Horticulture: A Structural Equation Model

Classifying Unbalanced Potato Plant Diseases using Ensemble Deep Learning Models

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

A Novel and Efficient Deep Learning Models for Assessing AI’s Impact on Disease Diagnosis in Agriculture

Generation and Utilization of an Augmented Cashew Leaf Dataset for Disease Analysis using Transfer Learning