Abstract: Precisely identifying crop diseases is a key to achieving high agricultural productivity as well as reduction of agricultural yield losses. Conventional practices in detection of crop ...

Current discourse predominantly focuses on the detrimental effects of artificial intelligence (AI), with relatively little ...

Scientists at the Department of Energy's Oak Ridge National Laboratory have created a new method that more than doubles computer processing speeds ...

Scientists at the Department of Energy's Oak Ridge National Laboratory have created a new method that more than doubles computer processing speeds while using 75% less memory to analyze plant imaging ...

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 ...

Abstract: Agricultural productivity often suffers due to plant diseases, causing major financial losses for farmers. Traditionally, spotting these diseases has been a slow process that relies on ...