AUTOMATIC PLANT RECOGNITION AND DISEASES IDENTIFICATION METHODS BASED ON IMAGE PROCESSING TECHNIQUES

A Comparative Study of State-of-the-Art Algorithms for Plant Recognition and Classification on a Large Dataset

CLASSIFICATION OF PLANT LEAF DISEASE USING ENSEMBLE DEEP TRANSFER LEARNING

Automatic Detection and Classification of Grape Leaf Diseases based on Deep Learning and Enhanced Chameleon Swarm Algorithm

Investigation of Deep Convolutional Neural Network (CNN) approaches’ accuracy for the detection of COVID-19

Advancements in Detecting Spot Fungal Diseases on Date Palm Leaves: Development and Validation of Chlorophyll-Based Detection Models

Detection, Disease Severity and Chlorophyll Prediction of Date Palm Leaf Spot Fungal Diseases

Artificial Neural Networks Based Change Detection for Monitoring Palm Trees Plantation in Al Madinah-Saudi Arabia

Plant Seedlings Classification using Transfer Learning

Fast Accurate Detection and Classification of Kidney Diseases from CT Images using Hybrid Classifiers