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 ...

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 ...

A full-stack web application that uses deep learning to detect and classify plant diseases from leaf images. Built with Next.js, React, TailwindCSS on the frontend and Flask, TensorFlow on the backend ...

An artificial intelligence (AI) algorithm paired with the single-lead electrocardiogram (ECG) sensors on a smartwatch accurately diagnosed structural heart diseases, such as weakened pumping ability, ...

Introduction: Plant diseases pose a significant threat to global food security and agricultural productivity, making accurate and timely disease identification essential for effective crop management ...

Real-World Evidence and Longitudinal Patient Records-Driven Algorithm Delivers Actionable, AI-Powered Insights at the Point of Care PALO ALTO, Calif.--(BUSINESS WIRE)--Atropos Health, a leader in ...

1 Ambam Computer Science and Application Laboratory & Department of Computer Engineering, Higher Institute of Transport, Logistics and Commerce, University of Ebolowa, Ebolowa, Cameroon. 2 Institut ...

A web-based application that uses deep learning to detect plant diseases from leaf images. The system can identify 15 different plant diseases across multiple crops including Apple, Cherry, Corn, ...

Abstract: Detection of plant leaf disease is crucial for achieving good yields and maintaining crop health. This early identification aids farmers who may not be familiar with all crop diseases by ...