In a world where agriculture is confronted with unprecedented challenges—such as climate variability, emerging pathogens, and ...

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...

Researchers at College of Food, Agricultural and Natural Resource Sciences are using AI to detect patterns across landscapes, atmospheres and ecosystems at scales that were previously impossible.

India and the Netherlands are partnering to use AI in agriculture, leveraging satellite and field data to predict crop ...

This article is authored by Suman S, director, Rural Livelihoods, Dr. Reddy’s Foundation and Mukesh Kestwal, chief innovation officer, IIT Ropar (i-Hub-AWaDH).

Ludhiana: The College of Horticulture and Forestry at Punjab Agricultural University (PAU) held a high-level expert session today, urging students to .

Prof. Yadati Narahari: Hundreds of mobile applications for agriculture have been launched over the years, and at any given time, there are a lot of such initiatives in India, yet nearly 90 percent of ...

Crop pests cause substantial yield losses worldwide and pose persistent challenges to sustainable agriculture.

The 2026 NFL Wild Card Weekend schedule featured two games on Saturday, has three more on Sunday and one 'Monday Night Football' matchup between the Houston Texans and Pittsburgh Steelers. Monday's ...

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 ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...