The agricultural industry is experiencing revolutionary changes through the latest advances in artificial intelligence and deep learning-based technologies. These powerful tools are being used for a ...

The safety of the global food supply depends heavily on effective crop management, making early diagnosis of plant diseases vital for improving agricultural productivity. This proposal outlines the ...

AI offers a different operating model for agriculture. Instead of relying only on periodic human observation or ...

This breakthrough could significantly boost crop yields and help achieve food security goals. Crop diseases not only reduce yields but also degrade soil health and disrupt ecosystems. Accurate, early ...

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant measurements and environmental data. By training models on seven years of ...

A team of Spanish researchers has created plants that glow in the dark and change colour when infected, allowing early ...

New research from The University of Texas at Arlington and the U.S. Department of Agriculture demonstrates how mathematical modeling can predict outbreaks of toxic fungi in Texas corn crops—offering a ...

Transboundary crop diseases are spreading faster than ever, threatening food security and the livelihoods of millions of farmers worldwide. Climate variability, expanding international trade and the ...