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 ...
Abstract: Agriculture is a key sector in India, employing nearly half of the workforce, with fertilizers playing a crucial role in crop productivity. However, inefficient fertilizer use affects both ...
Orthomasaic map overlaid with field shapefiles and vegetation index layers, along with extracted zonal statistics for each plot. Figure 4 Workflow diagram illustrating the complete methodology adopted ...
ABSTRACT: Accurate prediction of antidepressant treatment response remains a major challenge in psychiatry, particularly across diverse patient populations where genetic, demographic, and clinical ...
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 ...
Abstract: Accurate in-season crop yield prediction is critical for timely agricultural decision-making, food security, and climate-resilient farm management. This study presents a framework for ...
Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...
Rapidly estimating multiple trait indicators simultaneously, nondestructively, and with high precision is an important means of accurate diagnosis in modern phenomics. Increasing the accuracy of ...
The NFL schedule has reached Week 3 and the Sunday Night Football matchup will feature the New York Giants (0-2) hosting the Kansas City Chiefs (0-2). Veteran quarterbacks Russell Wilson and Patrick ...
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