Researchers at The University of Osaka have developed a computer graphics (CG) model, NeuraLeaf, capable of representing a ...

Researchers at the University of Osaka have developed NeuraLeaf, a revolutionary CG model using deep learning to represent ...

In this project, we use MobileNet and Inception individually to develop a deep learning based approach to detect the plant leaf disease such as Apple scab, Black rot, Bacterial spot, Early blight, and ...

It combines image processing, sensor - derived environmental data, and machine learning for reliable wheat pest and disease diagnosis. First, deep - learning algorithms in image analysis detect early ...

A deep learning–enabled ambulatory ECG is capable of unmasking underlying conduction tissue system disease. This tool may help identify patients with significant intermittent bradyarrhythmia, ...

Potato leaf diseases, such as Early Blight and Late Blight, significantly impact crop yields, making their early detection crucial for sustainable agriculture. This study explores a deep ...

SHREVEPORT, La. - If you’ve noticed your crape myrtle leaves changing color this summer, you’re not alone. Experts say the problem is widespread — and nothing to panic about.

To illustrate the benefits of MIGHT, they used it to develop a test for early cancer detection using circulating cell-free DNA (ccfDNA)-fragments of DNA circulating in the blood.

Rice leaf diseases significantly impact yield and quality. Traditional diagnostic methods rely on manual inspection and empirical knowledge, making them subjective and prone to errors. This study ...

Beech leaf disease is spreading in Vermont, threatening the state's beech trees. What to know.