Frontiers

Early Detection and Severity Classification of Verticillium Wilt in Cotton Stems Using Raman Spectroscopy and Machine Learning

The final, formatted version of the article will be published soon. The early detection of Verticillium wilt (VW) in cotton is a critical challenge in agricultural disease management. Cotton, a vital ...
IEEE

Detecting Plant Disease Using Machine Learning

Abstract: Plant diseases are becoming more common, which is a serious danger to the world's food security. Manual examination is a common component of traditional illness detection procedures, which ...
IEEE

Hyperparameter Optimization of CNN Models for Plant Leaf Disease Classification Using Optuna

Abstract: Leaf diseases are a major challenge for agricultural productivity, requiring accurate and efficient detection methods. This research presents an effective method for multi-class ...
Frontiers

Developing sustainable system based on transformers algorithms to predict the Dubas insects diseases in palm leaves

1 Applied College, King Faisal University, Al-Ahsa, Saudi Arabia 2 College of Computer Science and Information Technology, King Faisal University, Al-Ahsa, Saudi Arabia Introduction: Agriculture has ...
CNN

What people should know about Legionnaires’ disease, which has killed 7 people in New York

An outbreak of Legionnaires’ disease that hospitalized 90 people and killed seven others has ended, according to the New York City Health Department. This recent outbreak raises questions about ...
Frontiers

Lightweight CNN for accurate brain tumor detection from MRI with limited training data

Aim: This study aims to develop a robust and lightweight deep learning model for early brain tumor detection using magnetic resonance imaging (MRI), particularly under constraints of limited data ...
IEEE

Automating Detection and Management of Cotton Plant Diseases using Deep Learning Methods

Abstract: When implemented, this project is to design a DL-based module to diagnose diseases in cotton plants and recommended preventive and response measures. Using a diverse dataset spanning ...
Frontiers

An intelligent identification for pest and disease detection in wheat leaf based on environmental data using multimodal data fusion

1 School of Mathematics and Statistics, Fuyang Normal University, Fuyang, China 2 State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, Hainan, China The ...