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Precision Agriculture Technicians

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.

Also known as: Agronomist · Crop Consultant · Crop Specialist · Field Agronomist · Agronomy Consultant · Agronomy Specialist

AI Task Exposure Score

Very High exposure

More exposed than 89% of 968 occupations · Rank #89 (1 = most exposed)

This score estimates how exposed the tasks in a role are to current and near-term AI capabilities. It does not predict whether a specific person will lose a job.

Your free role snapshot

Start with the work, not the headline

This occupation baseline already contains different kinds of work. These are the two ends of its current task range and one useful action you can take now.

Most exposed task

Document and maintain records of precision agriculture information.

Automatable 80/100 exposure

Most durable task

Install, calibrate, or maintain sensors, mechanical controls, GPS-based vehicle guidance systems, or computer settings.

Durable 25/100 exposure

Useful next step

Make one change to the task mix

Compare one real week with the exposed tasks, test one supervised delegation, and redirect the saved time toward more durable work.

Want this mapped to your actual week? Know what to strengthen, what to delegate to AI with review, and what to do over the next 7, 30, and 90 days.

Build my 7/30/90-day action plan — $9

Most exposed tasks

Highest structured exposure values in this role’s task mix — the work AI systems can already do most of.

  • Document and maintain records of precision agriculture information.80
  • Prepare reports in graphical or tabular form, summarizing field productivity or profitability.75

Augmentable tasks

Work where AI assists rather than replaces — the productivity frontier of this role.

  • Analyze geospatial data to determine agricultural implications of factors such as soil quality, terrain, field productivity, fertilizers, or weather conditions.65
  • Create, layer, and analyze maps showing precision agricultural data, such as crop yields, soil characteristics, input applications, terrain, drainage patterns, or field management history.60
  • Compare crop yield maps with maps of soil test data, chemical application patterns, or other information to develop site-specific crop management plans.60

Most durable tasks

Lowest exposure — typically judgment, relationships, physical presence, or accountability. This is the human moat.

  • Install, calibrate, or maintain sensors, mechanical controls, GPS-based vehicle guidance systems, or computer settings.25
  • 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.30
  • Participate in efforts to advance precision agriculture technology, such as developing advanced weed identification or automated spot spraying systems.30

Task exposure values and classifications are published, versioned estimates audited against the anchored rubric. This page reads them from the data release rather than generating them at request time. Bars show exposure contribution relative to this role’s task mix.

What this means

A score of 51 puts Precision Agriculture Technicians in the most-exposed quarter of analyzed occupations. In practice, exposure this high is about the mix: 2 of 20 analyzed tasks lean automatable, 13 augmentable, and 5 durable. The useful question isn’t “will AI take this job” — it’s which tasks go first, which get faster, and where to reposition time. That’s what the personalized report maps against your actual week.

Lower-exposure adjacent roles

Shown only when the target is at least 10 points lower under the same score version and skill overlap is at least 50%. These are adjacent roles with lower task exposure — not guaranteed “safe careers”.

Labor-market context

  • $49,630median wage
  • 15,130employed
  • 2,900annual openings
  • +4.3%projected growth

Context only — labor statistics are not inputs to the exposure score. See methodology.

Turn your actual week into a plan

Know which work to strengthen, what to delegate to AI with review, and what to do over the next 7, 30, and 90 days. Your $9 plan includes a confidence-rated personal score, task matrix, human moat, and only genuinely lower-exposure adjacent roles.

Build my 7/30/90-day action plan — $9

Related roles

Adjacent by skills or family — no exposure claim implied.

How this score was calculated

The score is the plain average of the AI-exposure values of this role’s 20 analyzed tasks (equal task weights in this release — no hidden factors):

  • Automatable 2 tasks, averaging 78/100 exposure
  • Augmentable 13 tasks, averaging 54/100 exposure
  • Durable 5 tasks, averaging 30/100 exposure

score = (2×78 + 13×54 + 5×30) ÷ 20 ≈ 51

Every task’s exposure value was scored against a published anchored rubric that scores tasks as actually performed — physical, in-person, and accountability requirements included (data release 2026.07.12-r2). The band (Very High) is a corpus quartile; the percentile is tie-aware across all 968 occupations.

FAQ — Precision Agriculture Technicians

Will AI replace Precision Agriculture Technicians?
This score cannot predict whether this occupation or any individual job will be replaced. It shows which tasks current and near-term AI can perform or accelerate, which tasks remain more durable, and where a worker can adapt. Employer decisions, demand, regulation, and how the role changes are outside the score.
What does a score of 51 mean for a Precision Agriculture Technicians?
It means that, weighted across the 20 tasks we analyzed for this role, the task mix sits at 51 on a 0–100 exposure scale — in the most-exposed quarter of analyzed occupations. It measures task exposure to current and near-term AI capabilities, not the probability of losing a job.
Which tasks in this role are most exposed to AI?
The highest-exposure tasks are: Document and maintain records of precision agriculture information; Prepare reports in graphical or tabular form, summarizing field productivity or profitability. Exposure comes from the published, rubric-scored data release rather than being generated when you open this page.
Which parts of this job are most durable?
The most durable responsibilities are: Install, calibrate, or maintain sensors, mechanical controls, GPS-based vehicle guidance systems, or computer settings; 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; Participate in efforts to advance precision agriculture technology, such as developing advanced weed identification or automated spot spraying systems. Durable tasks typically depend on judgment, relationships, physical presence, or accountability.
Is this score personalized to me?
No — this page shows the occupation-level baseline. Two people with the same title often do different work. The $9 personalized report recalculates the score from the tasks you actually do and builds a concrete 7/30/90-day plan around them.

Score version jr-v1 · data release 2026.07.12-r2 · updated 2026-07-13 · baseline mapping: 20 of 20 tasks carry source-level provenance · methodology