The agricultural industry is shifting from traditional, intuition-based practices to a data-driven approach that leverages hyper-local, real-time information. This change is embodied in "Soil to Satellite" analytics, which integrates ground-based biological data with advanced satellite sensors. Agronomic field analytics have progressed from experimental tools to essential components of modern food production. By combining IoT sensors, frequent satellite imagery, and advanced machine learning, the industry can now manage land at the level of individual square meters.
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