A Hidden Crop for Corporate Tech: Farm Data

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March 23, 2026 | Source: Civil Eats | by Elsa Wenzel

Andrew Nelson is a self-described “tech-forward” farmer near Garfield, a tiny town in eastern Washington close to the Idaho border. He uses popular precision agriculture services, paired with artificial intelligence, to produce wheat, canola, lentils, garbanzos, and green peas across 7,500 acres.

Precision farming technologies gather data from a variety of points, such as GPS coordinates from tractors, seeding rates from planters, pesticide volumes from sprayers, moisture readings from soil probes, and yield estimates from combines.

The services—from Bayer, Deere, Corteva, Trimble, and others in the ag-tech sector—increasingly use artificial intelligence to detect patterns, weaving together farmers’ data with other feeds, like satellite images and weather station readings. Farmers can open dashboards on their smartphones or computers to see overviews of conditions and trends, along with suggestions about practices to tweak.

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