IEEE

Enhanced Rice Leaf Diseases Diagnosis Using Deep Learning Model with GAN-Based Synthetic Data Augmentation

Abstract: Rice is a widely cultivated crop and a crucial staple food in many South Asian nations. Diseases that affect rice leaves can significantly decrease crop yields, but early identification can ...
EurekAlert!

AI-powered ECG analysis offers promising path for early detection of chronic obstructive pulmonary disease, says Mount Sinai researchers

Mount Sinai analysis looks at the effectiveness of electrocardiograms analyzed via deep learning as a tool for early COPD detection ...
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 ...
IEEE

MonoICT: A Monocular 3-D Object Detection Model Integrating CNN and Transformer

Abstract: In the field of autonomous driving, 3-D object detection is a crucial technology. Visual sensors are essential in this area and are widely used for 3-D object detection tasks. Recent ...
IEEE

Secure Digital Twin-Driven Transformer-CNN Hybrid With CBAM Attention for UAV Surveillance and Real-Time Leaf Disease Detection

Abstract: Cotton is a crop of immense global economic importance, yet its productivity is severely threatened by leaf diseases such as curl virus, blight, powdery mildew, and target spot, which can ...
IEEE

Analysis of Freezing of Gait in Parkinson’s Disease Detection Using a Multimodal Prototype Learning Framework

Abstract: Patients with severe Parkinson’s disease (PD) frequently have freezing of gait (FOG), a gait disability. By anticipating FOG before it occurs, pre-emptive cueing can either prevent FOG or ...
IEEE

Smart Detection of Rice Leaf Disease using Deep Learning Models

Abstract: The worldwide consumption of food depends heavily on rice which serves as one of the essential crops required to sustain people worldwide. The agricultural production of rice faces ...
IEEE

Parkinson's Disease Detection using Machine Learning on DaTScan Image

Abstract: Parkinson's disease is a chronic, progressive neurodegenerative disorder caused by the gradual damage of dopamine-producing neurons in the substantia nigra. It poses certain burdens on ...
IEEE

Deep Learning-Based Classification of Banana Leaf Diseases Using VGG19: A Robust Approach for Agricultural Diagnostics

Abstract: This study presents a deep learning-based approach using the VGG19 model to classify banana leaf conditions into four categories: Cordana, Healthy, Pestalotiopsis, and Sigatoka. To train the ...
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

Crop Disease Prediction Using AI

Abstract: This paper presents an AI solution that utilizes Convolutional Neural Networks CNNs to detect diseases in crops and flowers with the goal of improving precision and effectiveness in managing ...
IEEE

Comparative Study of CNN Architectures for Tomato Leaf Disease Detection

Abstract: Tomato leaf diseases significantly affect agricultural productivity and farmer livelihoods, particularly in regions with limited access to timely diagnostic tools. This study explores the ...