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.
Abstract: Effective crop management is critical for enhancing agricultural productivity and sustainability. Traditional farming methods often face challenges in accurately forecasting yields, ...
A new robot could solve one of the biggest challenges facing indoor farmers: manual pollination. Indoor farms, also known as ...
Two new projects are advancing rice breeding strategies to improve productivity of main and ratoon crops, and health benefits of purple rice.
On February 11, Anthony Hanson, a UMN Extension educator that specializes in integrated pest management and Jochum Wiersma, UMN Extension small grains agronomist joined UMN Extension crops educator Ry ...
A team of UCSF researchers successfully tested several mainstream AI agents for the ability to analyze big data on women's ...
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