Job Check

Precision Agriculture Technicians

US evidence · AI already used for 0 of 10 main tasks · Check another job

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.

10 main tasks · most important first

Your main tasks and AI

Importance
  1. 01Document and maintain records of precision agriculture information.AI could speed this up a lot
  2. 02Collect information about soil or field attributes, yield data, or field boundaries, using field data recorders and basic geographic information systems (GIS).AI could speed this up, with extra tools
  3. 03Use geospatial technology to develop soil sampling grids or identify sampling sites for testing characteristics such as nitrogen, phosphorus, or potassium content, pH, or micronutrients.AI could speed this up, with extra tools
  4. 04Divide agricultural fields into georeferenced zones, based on soil characteristics and production potentials.AI could speed this up, with extra tools
  5. 05Install, calibrate, or maintain sensors, mechanical controls, GPS-based vehicle guidance systems, or computer settings.Mostly human for now
  6. 06Create, layer, and analyze maps showing precision agricultural data, such as crop yields, soil characteristics, input applications, terrain, drainage patterns, or field management history.AI could speed this up, with extra tools
  7. 07Compare crop yield maps with maps of soil test data, chemical application patterns, or other information to develop site-specific crop management plans.AI could speed this up, with extra tools
  8. 08Analyze geospatial data to determine agricultural implications of factors such as soil quality, terrain, field productivity, fertilizers, or weather conditions.AI could speed this up, with extra tools
  9. 09Identify spatial coordinates, using remote sensing and Global Positioning System (GPS) data.AI could speed this up, with extra tools
  10. 10Analyze data from harvester monitors to develop yield maps.AI could speed this up, with extra tools

Tasks from O*NET® 31.0 (US Department of Labor, CC BY 4.0, changed by us), most important first. “Already use” comes from Anthropic’s data on real work chats with Claude; “could speed up” from task ratings made with GPT-4 in 2023.

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Checked O*NET 31.0, August 2026Corrections