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.

Field tests reveal that image resolution, computing power, and seasonal variability can limit drone weed detection.

The rise in prediction markets raises critical questions for the future of democracy. In order to ensure that trust and ...

A new study co-authored by Virginia Tech and University of Vermont researchers offers one of the first, large-scale empirical looks at how Certified Crop Advisors (CCAs) across North America evaluate ...

Swedish researchers developed two novel single-axis solar tracking strategies that dynamically adjust panel tilt based on crop light requirements, balancing photosynthesis and energy production. One ...

NLP offers powerful opportunities to support the UN Sustainable Development Goals (SDGs)—including SDG2 (Zero Hunger). In the ...

Your credit score is the key to qualifying for credit cards, mortgages, personal loans and a host of other financial products. In the late 1980s, data analytics company Fair Isaac Corporation (now ...