Apply geospatial technologies, including geographic information systems (GIS) and Global Positioning System (GPS), to agricultural production or management activities, such as pest scouting, site-specific pesticide application, yield mapping, or variable-rate irrigation. May use computers to develop or analyze maps or remote sensing images to compare physical topography with data on soils, fertilizer, pests, or weather.
Create, layer, and analyze maps showing precision agricultural data, such as crop yields, soil characteristics, input applications, terrain, drainage patterns, or field management history.
Document and maintain records of precision agriculture information.
Compile and analyze geospatial data to determine agricultural implications of factors such as soil quality, terrain, field productivity, fertilizers, and weather conditions.
Divide agricultural fields into georeferenced zones, based on soil characteristics and production potentials.
Develop soil sampling grids or identify sampling sites, using geospatial technology, for soil testing on characteristics such as nitrogen, phosphorus, and potassium content, pH, and micronutrients.
Compare crop yield maps with maps of soil test data, chemical application patterns, or other information to develop site-specific crop management plans.
Recommend best crop varieties or seeding rates for specific field areas, based on analysis of geospatial data.
Draw or read maps, such as soil, contour, or plat maps.
Apply knowledge of government regulations when making agricultural recommendations.
Process and analyze data from harvester monitors to develop yield maps.
Demonstrate the uses and applications of geospatial technology, such as Global Positioning System (GPS), geographic information systems (GIS), automatic tractor guidance systems, variable rate chemical input applicators, surveying equipment, and computer mapping software.
Program farm equipment, such as variable-rate planting equipment or pesticide sprayers, based on input from crop scouting and analysis of field condition variability.
Analyze remote sensing imagery to identify relationships between soil quality, crop canopy densities, light reflectance, and weather history.
Identify spatial coordinates, using remote sensing and Global Positioning System (GPS) data.
Prepare reports summarizing field productivity and profitability in graphical or tabular form.
Install, calibrate, or maintain sensors, mechanical controls, GPS-based vehicle guidance systems, or computer settings.
Identify areas in need of pesticide treatment by analyzing geospatial data to determine insect movement and damage patterns.
Contact equipment manufacturers for technical assistance, as needed.