For centuries, humans looked to seers and astrologers to determine fate. Today, we look to algorithms, and the loss of agency ...
A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale.
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 ...
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 ...
Spray drones cost $20,000-$60,000 versus $1 million or more for agricultural airplanes, and farmers are buying them Drone-treated sugarcane fields produce 30 more pounds of sugar per ton after six ...
Abstract: In modern agriculture, accurately anticipating crop yield estimation is critical aids of sustainable resource management, efficient decision-making, and food security. This is therefore a ...
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 ...
Department of Chemistry, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India Center for Machine Intelligence and Data Science, Indian Institute of Technology Bombay, Powai, Mumbai ...
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