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 ...
Korea's first fully automated diagnostic system capable of simultaneously detecting 16 major foodborne pathogens within one ...
Researchers have developed a tool that reliably predicts where destructive new roads are likely to carve through tropical ...
Objective: Alzheimer’s disease (AD) is mainly identified by cognitive function deterioration. Diagnosing AD at early stages poses significant challenges for both researchers and healthcare ...
Abstract: Plant disease detection is a critical challenge in agriculture, as undetected or poorly managed diseases can lead to significant yield losses, economic setbacks for farmers, and compromised ...
A group of Georgia students from Lambert High School in Forsyth County are drawing national attention after developing what may be a faster, more precise way to detect Lyme disease. According to CBS ...
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 ...
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