IEEE

Optimized ResNet-50 Deep Learning Model for Highly Accurate Plant Disease Classification and Detection Efficiency

Abstract: This research aims to develop a resilient and expert deep learning system to identify and classify plant diseases using ResNet (Residual Neural Networks). Such innovations will help overcome ...
IEEE

Advanced Plant Pathology: Leveraging Deep Learning for Early Detection of Leaf Diseases

Abstract: The Plant Leaf Diseases Detection System addresses the critical challenge of early detection and management of plant diseases, significantly impacting agricultural productivity and food ...
IEEE

Bell Pepper Plant Disease Detection using Deep Learning Models

Abstract: Early identification of diseases in bell pepper plants at the appropriate time creates two benefits: improving crop output and reducing economic losses for agriculture. This research ...
IEEE

Adaptive Fusion-Based Noise-Robust Plant Disease Detection Using Dual-Modality Deep Learning

Abstract: Potato leaf diseases such as Early Blight and Late Blight significantly impacts crop yields worldwide. While deep learning methods achieve high accuracy on clean leaf images, their ...
IEEE

Commercial Plant Leaf Disease Detection in the Coastal and Malnad Regions of Karnataka using CNN, DenseNet121, and InceptionV3

Leaf diseases pose a major threat to the productivity and quality of commercial crops in the coastal and Malnad regions, renowned for their diverse and high-value agricultural practices. In this work, ...