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

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

Deep Learning-based Assessment of Honey Purity using Predictive Modelling