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 ...
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 ...
Pairwise CEO Tom Adams explains how gene editing is reshaping crops, boosting yields, and making fruits and vegetables more consumer friendly. Although still in its early days, CRISPR has already been ...
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
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