Will AI replace Precision Agriculture Technicians?
AI reaches a large part of this job’s work.
49/100
High exposure
More exposed to AI than 78% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 77% of the work
What the job involves
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.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(17)
- Document and maintain records of precision agriculture information.
- Collect information about soil or field attributes, yield data, or field boundaries, using field data recorders and basic geographic information systems (GIS).
- Use geospatial technology to develop soil sampling grids or identify sampling sites for testing characteristics such as nitrogen, phosphorus, or potassium content, pH, or micronutrients.
- Create, layer, and analyze maps showing precision agricultural data, such as crop yields, soil characteristics, input applications, terrain, drainage patterns, or field management history.
- Compare crop yield maps with maps of soil test data, chemical application patterns, or other information to develop site-specific crop management plans.
and 12 more
Out of reach(5)
- Divide agricultural fields into georeferenced zones, based on soil characteristics and production potentials.
- Analyze geospatial data to determine agricultural implications of factors such as soil quality, terrain, field productivity, fertilizers, or weather conditions.
- Analyze data from harvester monitors to develop yield maps.
- Install, calibrate, or maintain sensors, mechanical controls, GPS-based vehicle guidance systems, or computer settings.
- Contact equipment manufacturers for technical assistance, as needed.
Also called
Precision Agriculture Specialist (Precision Ag Specialist) · Precision Ag Specialist · Crop Specialist · Precision Farming Coordinator · Precision Agriculture Technician (Precision Ag Tech) · Precision Ag Tech · Agrintelligence Specialist (Agriculture Intelligence Specialist) · Agronomist
Related jobs
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics