Description
Apply agronomy, data analytics, and geospatial technologies (GIS, GPS, remote sensing) to optimize crop production and farm management. Conduct scouting, yield and soil analysis, and variable-rate recommendations for seeding, fertility, pesticides, and irrigation; develop maps and reports that integrate soils, inputs, topography, weather, and economics to support grower decisions and sustainability goals.
- • Configure and optimize variable-rate planters, sprayers, and controllers based on scouting and field variability.
- • Integrate yield, soil test, and application data to develop site-specific crop management plans.
- • Oversee installation, calibration, and maintenance of sensors, guidance, and control systems.
- • Collect and validate soil, crop, and boundary data using field data recorders and GIS.
- • Acquire and manage GPS and remote sensing coordinates for key field features.
- • Delineate georeferenced management zones by soil characteristics and productivity potential.
- • Use geospatial and scouting data to target pest and disease treatments within an IPM framework.
- • Recommend crop varieties, seeding rates, and input prescriptions by management zone.
- • Create and analyze layered maps of yields, soils, inputs, terrain, drainage, and field history.
- • Coordinate with equipment vendors for technical support, updates, and integrations.
- • Analyze satellite or UAV imagery to assess soil conditions, crop canopy, and weather impacts.
- • Maintain accurate agronomic, application, and compliance records.
- • Interpret and produce soil, contour, and plat maps for planning and operations.
- • Advise on precision-ag hardware, software, and GNSS correction upgrades.
- • Implement practices to reduce environmental impact and optimize water, nutrient, and chemical use.
- • Evaluate and pilot emerging precision agriculture technologies and decision tools.
- • Advise on spray technology and stewardship to minimize drift and overapplication.
- • Design soil sampling grids and oversee nutrient testing and interpretation.
- • Train growers and staff on GPS, GIS, guidance systems, variable-rate tools, and mapping software.
- • Process harvester monitor data to generate accurate, cleaned yield maps.
- • Synthesize geospatial, weather, and input data to guide agronomic decisions and timing.
- • Prepare agronomic recommendations and ROI reports with supporting maps, graphs, and tables.
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Last reviewed: Jan 2026
