Description
Analyze geospatial, remote sensing, and agronomic datasets to optimize crop production and inform site-specific decisions. Develop variable-rate prescriptions, maps, and models; manage GIS databases and data quality; and deliver reports and recommendations on inputs, irrigation, and pest and nutrient management.
- • Develop and deliver variable-rate prescriptions for planting, fertilization, and pesticide application based on scouting and field variability analyses.
- • Compare multi-year yield maps with soil tests, input applications, and management history to design site-specific management plans.
- • Specify and validate sensor, guidance, and equipment configurations; coordinate calibration with operators.
- • Design and manage field data collection protocols; ingest and QA/QC soil, boundary, and yield datasets from recorders and GIS.
- • Process GPS and remote-sensing data to produce accurately georeferenced layers.
- • Delineate management zones based on soils, topography, and productivity potential.
- • Use spatial analyses to identify pest pressure zones and prioritize treatment.
- • Recommend hybrids/varieties, seeding rates, and input strategies by zone using agronomic and geospatial analytics.
- • Build, integrate, and analyze GIS layers for yields, soils, inputs, terrain, drainage, and management history.
- • Liaise with equipment and software vendors to resolve data and compatibility issues.
- • Analyze satellite, drone, and aerial imagery to relate canopy vigor and reflectance to soil, weather, and management.
- • Maintain organized databases, metadata, and versioned records of precision agriculture datasets and prescriptions.
- • Interpret and produce soil, contour, and plat maps for planning and stakeholder communication.
- • Advise stakeholders on GPS/GNSS accuracy options, corrections services, and upgrade paths.
- • Model and recommend practices that reduce input waste and environmental impact while meeting yield goals.
- • Evaluate and prototype advanced analytics, such as weed detection and automated spot-spraying algorithms.
- • Assess boom-spray performance data and recommend settings and technologies to minimize overapplication and drift.
- • Design soil sampling grids and targeted sampling schemes using GIS to capture nutrient and pH variability.
- • Train staff and clients on GIS tools, guidance systems, variable-rate workflows, and mapping software.
- • Clean, normalize, and aggregate harvester monitor data to produce accurate, comparable yield maps.
- • Integrate geospatial, sensor, and weather data to quantify impacts of soils, terrain, inputs, and climate on productivity.
- • Prepare dashboards and reports summarizing field performance, ROI, and profitability.
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This site includes information from O*NET by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under the CC BY 4.0 license. Career Clutch has modified some of this information for student readability. USDOL/ETA has not approved, endorsed, or tested these modifications. O*NET® is a trademark of USDOL/ETA.
Last reviewed: Jan 2026
