Will AI replace Precision Agriculture Technicians?

What this score means

Precision Agriculture Technicians leans toward the safer end for Research & Science. Parts of the role touch tasks AI is getting good at, but the core still depends on hands-on work or judgment that resists automation. At 34 out of 100 it scores 7 points below the Research & Science average of 41. Across the 3 sources behind this baseline, individual estimates run from 20 to 50, so the score is a weighted consensus rather than any single figure.

The number is a consensus estimate for the typical version of the role, built from published academic and industry research scored occupation by occupation. It is not a prediction about any individual. How scoring works

What this job actually involves

Exposure follows the work itself rather than the job title, so it is worth seeing what the role is made of. These are the tasks O*NET records for Precision Agriculture Technicians, most central first, showing 12 of 22.

• 01Document and maintain records of precision agriculture information.
• 02Collect information about soil or field attributes, yield data, or field boundaries, using field data recorders and basic geographic information systems (GIS).
• 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.
• 04Divide agricultural fields into georeferenced zones, based on soil characteristics and production potentials.
• 05Install, calibrate, or maintain sensors, mechanical controls, GPS-based vehicle guidance systems, or computer settings.
• 06Create, layer, and analyze maps showing precision agricultural data, such as crop yields, soil characteristics, input applications, terrain, drainage patterns, or field management history.
• 07Compare crop yield maps with maps of soil test data, chemical application patterns, or other information to develop site-specific crop management plans.
• 08Analyze geospatial data to determine agricultural implications of factors such as soil quality, terrain, field productivity, fertilizers, or weather conditions.
• 09Identify spatial coordinates, using remote sensing and Global Positioning System (GPS) data.
• 10Analyze data from harvester monitors to develop yield maps.
• 11Apply precision agriculture information to specifically reduce the negative environmental impacts of farming practices.
• 12Demonstrate the 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, or computer mapping software.

Task statements from O*NET by the National Center for O*NET Development, used under CC BY 4.0. The tasks are descriptive; the exposure score above is ours.

The research behind this score

This baseline aggregates 3 research sources that scored Precision Agriculture Technicians for AI and automation exposure. More recent, higher confidence studies carry more weight in the final number.

• 01Anthropic Economic Index 2026 - AI Task Exposure · 2026
• 02GPTs are GPTs: Labor Market Impact Potential of LLMs · 2024
• 03AI Occupational Exposure to Language Modeling · 2023

Also covers

Agriculture Specialist · Agriculture Technician (Agriculture Tech) · Agrintelligence Specialist (Agriculture Intelligence Specialist) · Agronomist · Agronomy Consultant · Agronomy Specialist · Certified Crop Specialist · Crop Consultant and related titles

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