Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...
A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...
Scholars analyze how the use of machine learning could reshape EPA drinking water standards.
The University of Florida recently received the Excellence in Partnering Award by the National Oceanographic Partnership Program for its collaborative, multi-institutional effort aimed at improving ...
Predicting solar activity is crucial for understanding and mitigating its effects on the heliosphere, particularly with regard to Earth and its surrounding ...
In recent years, the field of radar and remote sensing has experienced significant advancements due to the evolution of signal processing techniques and the ...
A Hebrew University study suggests AI tools could help growers better manage water use by predicting healthy plant behavior and flagging early signs of stress.
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