LCGC International’s interview series on the evolving role of artificial intelligence (AI)/machine learning (ML) in separation science continues with Boudewijn Hollebrands from Unilever Foods R&D, ...

Rows of corn stretch like green walls toward the horizon on a warm Iowa July morning. For generations, farmers have listened ...

Artificial intelligence is revolutionizing organic farming by enabling farmers to optimize crop yields, reduce input costs, ...

Plants are constantly exposed to a wide array of biotic and abiotic stresses in their natural environments, posing ...

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: Increasing need for sustainable agriculture calls for efficient means of maximizing fertilizer use, boosting crop production, and minimizing environmental degradation. In this research, an ...

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global population. It is characterized by a persistent low mood, disruptions in typical ...

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 ...

Enhanced prediction capability: Machine learning-based system matches and in some cases outperforms traditional forecasting systems, with particular improvements in northern Europe where conventional ...

Meet Mark Grebner, the Michigan statistician who helped pioneer the science of predicting whether someone will vote Republican or Democratic. By Thomas Fuller Reporting from East Lansing, Mich.