IEEE

Plant Disease Detection Using Optimised Cnn Models for Resource Constrained Environment

Abstract: Agricultural productivity is helpless against various diseases that result in significant losses in terms of resources. These losses rise rapidly in isolated locations with limited resources ...
Analytics Insight

AI-Powered Pest and Disease Detection in Farming

Overview AI systems use sensors and computer vision to detect pests and diseases early, reducing crop damage and yield losses.Real-time data analysis helps farm ...
IEEE

Hybrid CNN-Swin Framework for Detection and Classification of Potato Leaf Diseases

Abstract: Timely and accurate identification of plant diseases is essential for sustainable agricultural practices and food security. This study presents a deep learning-based diagnostic framework ...
IEEE

Citrus Disease Detection Using Convolutional Neural Networks: a Deep Learning-Based Precision Agriculture Approach

Abstract: The agricultural economy all around the world is controlled by citrus fruits. Nevertheless, the presence of a number of plant diseases, which are often difficult to detect in an early stage, ...
IEEE

Capsicum Plant Advanced Disease Detection Using CNN-SVM Fusion for Precision Crop Protection

Abstract: With the use of a combination of cutting-edge deep learning techniques, such as artificial neural networks, convolutional neural networks, and support vector machines, a unique method for ...
IEEE

Plant Disease Detection System Using Convolutional Neural Networks: a Comprehensive Approach With Real-Time Deployment

Abstract: Early detection of plant diseases is vital for enhancing agricultural output and ensuring global food security. This paper introduces a robust and scalable Plant Disease Detection System ...
IEEE

Deep Learning-Based Detection and Classification of Tea Leaf Diseases Using CNN Models

Abstract: In a country like India, where agriculture provides for both nationwide consumption and merchandise exports, plant disease is one of the most significant factors that might impact crop ...
IEEE

Automated Identification of Apple Leaf Diseases Using a Hybrid CNN-SVM Technique

Abstract: This research paper introduces a new hybrid method that combines Convolutional Neural Network (CNN) with Support Vector Machine (SVM) algorithms for the automated detection of apple leaf ...
Frontiers

Advanced hyperspectral image processing and machine learning approaches for early detection of wheat stem rust

1 Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia 2 All-Russian Institute of Plant Protection, Saint Petersburg, Russia However, despite rapid methodological advances, ...