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 ...
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

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 ...
Scientific Research Publishing

Vembandasamy, K., Sasipriya, R. and Deepa, E. (2015) Heart Diseases Detection Using Naive Bayes Algorithm.

ABSTRACT: Cardiovascular diseases (CVDs) are the leading cause of death worldwide, accounting for millions of deaths each year according to the World Health Organization (WHO). Early detection of ...
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

Plant Leaf Disease Detection and Crop Yield Improvement Using a Hybrid Machine Learning Framework

Abstract: Plant diseases seriously affect worldwide crop output, threatening food security and agricultural sustainability. This study solves these issues by introducing a hybrid machine learning ...