Two projects are receiving support from the USDA 2025 Specialty Crop Block Grant Program. Two interdisciplinary research teams at University of California, Santa Cruz, will develop agricultural ...

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

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

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.

A new robot could solve one of the biggest challenges facing indoor farmers: manual pollination. Indoor farms, also known as ...

U.S. farmers will plant more soybeans and less corn in 2026 than last year, although both harvests were expected to be the ...

Abstract: Adequate predictions of crop yields serve as essential components for creating sustainable agricultural strategy while ensuring food stability. This research develops a predictive ...

The Master of Information Management and Systems (MIMS) program educates information professionals to provide leadership for an information-driven world. The Master of Information and Data Science ...

Our team of savvy editors independently handpicks all recommendations. If you purchase through our links, the USA TODAY Network may earn a commission. Prices were accurate at the time of publication ...

Abstract: Crop prediction plays a pivotal role in agricultural planning and management. This study proposes a comprehensive approach utilizing machine learning models to predict crop types based on ...

This project demonstrates a complete end-to-end machine learning pipeline for predictive maintenance in industrial settings. The system predicts equipment failure types before they occur, enabling ...

As prediction markets have exploded onto the scene in recent years, allowing bets to be placed on a wide range of event-driven outcomes, many have asked whether it is optimal to have markets in ...