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Precision Agriculture Technicians

Precision Agriculture Technicians score 50 out of 100, which is elevated exposure to AI. That ranks #214 of 923 US occupations, where #1 is the most exposed. Of the 22 tasks in this job, AI could speed up 2 on its own and 18 more with extra software built on top of it. In April–May 2026, 1 of these tasks showed up in real conversations with Claude, Anthropic's AI assistant.

50/ 100
Elevated
Rank
#214of 923 jobs
US workers
15,130for Agricultural Technicians
Median pay
$49,630a year
In real AI use
1 of 22tasks, April–May 2026

Task by task

Each task this job involves, as listed by O*NET, rated on whether a large language model like GPT-4 could cut the time it takes by at least half at the same quality. Tasks marked Seen in real AI use appeared in conversations with Claude in April–May 2026 (Anthropic Economic Index).

  • AI can speed this up on its own: 2 (9%)
  • AI can speed this up with extra software: 18 (82%)
  • Little or no AI speed-up: 2 (9%)
  • Document and maintain records of precision agriculture information.AI can speed this up on its own · core task
  • Contact equipment manufacturers for technical assistance, as needed.AI can speed this up on its own · core task
  • Collect information about soil or field attributes, yield data, or field boundaries, using field data recorders and basic geographic information systems (GIS).AI can speed this up with extra software · core task
  • 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.AI can speed this up with extra software · core task
  • Identify spatial coordinates, using remote sensing and Global Positioning System (GPS) data.AI can speed this up with extra software · core task
  • Apply precision agriculture information to specifically reduce the negative environmental impacts of farming practices.AI can speed this up with extra software · core task
  • Create, layer, and analyze maps showing precision agricultural data, such as crop yields, soil characteristics, input applications, terrain, drainage patterns, or field management history.AI can speed this up with extra software · core task
  • Analyze data from harvester monitors to develop yield maps.AI can speed this up with extra software · core task
  • Analyze geospatial data to determine agricultural implications of factors such as soil quality, terrain, field productivity, fertilizers, or weather conditions.AI can speed this up with extra software · core task
  • Program farm equipment, such as variable-rate planting equipment or pesticide sprayers, based on input from crop scouting and analysis of field condition variability.AI can speed this up with extra software · core task
  • Draw or read maps, such as soil, contour, or plat maps.AI can speed this up with extra software · core task
  • Prepare reports in graphical or tabular form, summarizing field productivity or profitability.AI can speed this up with extra software · core task · Seen in real AI use
  • Compare crop yield maps with maps of soil test data, chemical application patterns, or other information to develop site-specific crop management plans.AI can speed this up with extra software · core task
  • Recommend best crop varieties or seeding rates for specific field areas, based on analysis of geospatial data.AI can speed this up with extra software · core task
  • Divide agricultural fields into georeferenced zones, based on soil characteristics and production potentials.AI can speed this up with extra software · core task
  • Analyze remote sensing imagery to identify relationships between soil quality, crop canopy densities, light reflectance, and weather history.AI can speed this up with extra software · core task
  • Provide advice on the development or application of better boom-spray technology to limit the overapplication of chemicals and to reduce the migration of chemicals beyond the fields being treated.AI can speed this up with extra software · core task
  • Identify areas in need of pesticide treatment by analyzing geospatial data to determine insect movement and damage patterns.AI can speed this up with extra software · core task
  • Advise farmers on upgrading Global Positioning System (GPS) equipment to take advantage of newly installed advanced satellite technology.AI can speed this up with extra software · core task
  • Participate in efforts to advance precision agriculture technology, such as developing advanced weed identification or automated spot spraying systems.AI can speed this up with extra software · core task
  • Demonstrate 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.Little or no AI speed-up · core task
  • Install, calibrate, or maintain sensors, mechanical controls, GPS-based vehicle guidance systems, or computer settings.Little or no AI speed-up · core task

Questions about precision agriculture technicians and AI

Will AI replace precision agriculture technicians?

Not entirely. Parts of the job are likely to change as AI takes over routine tasks. Precision Agriculture Technicians score 50 out of 100 (elevated exposure), #214 of 923 US jobs. AI could speed up 20 of the job's 22 tasks, 2 of them on its own, while 2 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.

Which precision agriculture technicians tasks can AI do?

The most exposed tasks include "Document and maintain records of precision agriculture information"; "Contact equipment manufacturers for technical assistance, as needed".

Which precision agriculture technicians tasks are hardest for AI?

Tasks with little or no AI speed-up include "Demonstrate 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"; "Install, calibrate, or maintain sensors, mechanical controls, GPS-based vehicle guidance systems, or computer settings".

Are people already using AI for this work?

Yes. In April–May 2026, 1 of the 22 tasks showed up in real conversations with Claude, according to the Anthropic Economic Index.

How many people work as precision agriculture technicians, and what do they earn?

About 15,130 people in the US (figure for Agricultural Technicians), with median pay of $49,630 a year (BLS, May 2025).

How to read this score. Exposure measures how much of the work AI could speed up, not whether the job will disappear. A highly exposed job can change shape, with people spending less time on routine tasks and more on the rest. The score counts tasks AI can speed up on its own in full, and tasks that need extra software at half weight.

The ratings come from published research based on GPT-4 (2023). To show what's happening now, each task is also checked against the latest Anthropic Economic Index, which records which tasks people actually use AI for. That data is refreshed automatically when Anthropic publishes a new release. Read the full method.

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