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 ...
Los Alamitos, California, January 29, 2026 — IEEE, the world’s largest technical professional organization and a public charity dedicated to advancing technology for humanity, together with the IEEE ...
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 ...
ABSTRACT: Accurate prediction of water travel time in drip irrigation systems is essential for efficient water and nutrient delivery. This study develops a predictive model for travel time by ...
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 ...
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 ...
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