Deep-learning algorithms enhance mutation detection in cancer and RNA sequencing

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...
IEEE

CNN-Powered Mobile Based Ayurvedic Plant Identification and Leaf Disease Detection

Abstract: Medicinal plants are another good source for different types of natural compounds and ayurveda as an Indian traditional medicine also uses a lot of medicinal plants with their nutritive, ...
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 ...
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

Deep Learning Models for Precision Agriculture: Evaluating CNN Architectures for Accurate Plant Disease Detection

Abstract: Early and precise detection of plant diseases is crucial for enhancing crop yield and minimizing agricultural losses. This paper evaluates the performance of deep learning-based ...
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 ...
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, ...
Frontiers

Multiscale CNN-state space model with feature fusion for crop disease detection from UAV imagery

Accurate detection of crop diseases from unmanned aerial vehicle (UAV) imagery is critical for precision agriculture. This task remains challenging due to the complex backgrounds, variable scales of ...
IEEE

Plant Disease Prediction Using Feature Selection Based Multilayered ANN with Genetic Algorithm

Abstract: This paper introduces a novel method for detecting plant diseases by combining a multilayer Artificial Neural Network (ANN) with a feature selection technique based on Genetic Algorithms (GA ...