The database of 200 million protein-structure predictions now includes homodimers, adding new biological relevance.

New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...

For millions of farmers, the timing of the monsoon is not a background climate signal but a direct economic trigger that can shape planting, seed choice, and investment decisions. Researchers argue ...

Abstract: Accurate crop yield prediction is vital for optimizing agricultural practices and ensuring food security. This study proposes an optimized XGBoost-based algorithm leveraging time series ...

In this study, an intelligent Internet of Thingsbased system for animal detection and crop protection employing optical and auditory repellents is shown. To detect trespassing animals instantly for ...

Gurnoor Kaur, a Canadian high school student of Indian origin, has won a national data science competition. Her project used artificial intelligence to predict crop diseases. Kaur's innovative ...