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JOB REPORT / 19-4012 · 48 TASKS

Agricultural Technicians.

Can AI do the work of Agricultural Technicians?

Mostly it works alongside you. Here is what shifts, task by task.

YOUR EXPERIENCE MATTERS

How does this fit your work?

How many tasks do you use AI to assist with at work?

Drag the dot. There’s no wrong answer; it starts at our estimate.

Starting pointOur estimate

The mark shows what’s typical for this job.

The parts of your job AI can already do most of:

  • Use geospatial technology to develop soil sampling grids…
  • Compare crop yield maps with maps of soil test…
  • Analyze data from harvester monitors to develop yield maps

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A guided certificate program in AI-assisted Agricultural Technicians work. It covers the 38 AI-affected parts of your job and ends in a capstone a person reviews.

WHAT WE LOOKED AT

Your job, task by task.

38 of 48 tasks reviewed

This job has 48 core tasks. We went through 38 of them, one at a time.

Task by task, from the work Agricultural Technicians actually do. How we describe AI use in each task is our own read of it, not a measurement of whether AI can replace the job.

  1. TASK 01

    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 DOES

    Generates sampling grid suggestions from field maps, satellite imagery, and soil variability data

    YOU DO

    Walk the field, apply local knowledge, and adjust grids based on real conditions AI can't see

  2. TASK 02

    Compare crop yield maps with maps of soil test data, chemical application patterns, or other information to develop site-specific crop management plans.

    AI DOES

    Overlays multiple map layers, spots patterns, and flags zones where yields don't match soil or chemical data

    YOU DO

    Use your field experience to turn data patterns into practical, site-specific management decisions

  3. TASK 03

    Analyze data from harvester monitors to develop yield maps.

    AI DOES

    Cleans raw harvest data, spots outliers, and generates draft yield maps

    YOU DO

    Verify sensor errors and translate map patterns into real farm decisions

  4. TASK 04

    Draw or read maps, such as soil, contour, or plat maps.

    AI DOES

    Reads and interprets map data, flags patterns, and overlays multiple map layers automatically

    YOU DO

    Verify map accuracy against real field conditions and apply local farming knowledge

  5. TASK 05

    Prepare reports in graphical or tabular form, summarizing field productivity or profitability.

    AI DOES

    Generates charts, tables, and written summaries from yield and cost data

    YOU DO

    Interpret field-specific context and tailor insights for each farm's goals

  6. TASK 06

    Analyze geospatial data to determine agricultural implications of factors such as soil quality, terrain, field productivity, fertilizers, or weather conditions.

    AI DOES

    Processes satellite imagery, runs soil and yield models, and flags problem zones on maps

    YOU DO

    Combine field knowledge, farmer goals, and local conditions to turn data into real decisions

  7. TASK 07

    Divide agricultural fields into georeferenced zones, based on soil characteristics and production potentials.

    AI DOES

    Analyzes soil data, satellite images, and yield maps to draft zone boundaries automatically

    YOU DO

    Walk the field, check AI-suggested zones against real conditions, and make final calls

  8. TASK 08

    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 DOES

    Processes sensor and yield data, generates map layers, spots patterns, and flags anomalies across fields

    YOU DO

    Apply local field knowledge and agronomic experience to turn map patterns into actionable farm decisions

  9. TASK 09

    Recommend best crop varieties or seeding rates for specific field areas, based on analysis of geospatial data.

    AI DOES

    Processes soil maps, yield history, and satellite data to flag variety options and rate ranges

    YOU DO

    Blend local crop knowledge, farmer preferences, and on-the-ground observations into the final recommendation

  10. TASK 10

    Analyze remote sensing imagery to identify relationships between soil quality, crop canopy densities, light reflectance, and weather history.

    AI DOES

    Processes multispectral images, flags anomalies, and finds correlations across soil, canopy, and weather datasets

    YOU DO

    Apply local field knowledge and judgment to interpret what the patterns actually mean for that specific farm

  11. TASK 11

    Identify areas in need of pesticide treatment by analyzing geospatial data to determine insect movement and damage patterns.

    AI DOES

    Scans maps and imagery to flag hotspots and predict pest spread using pattern recognition

    YOU DO

    Walk fields to confirm what the data shows and decide the safest, smartest treatment plan

  12. TASK 12

    Advise farmers on upgrading Global Positioning System (GPS) equipment to take advantage of newly installed advanced satellite technology.

    AI DOES

    Researches compatible GPS systems, summarizes new satellite features, and drafts upgrade comparison reports

    YOU DO

    Visit the farm, assess real field conditions, and guide the farmer through the right choice for their operation

  13. TASK 13

    Record data pertaining to experimentation, research, or animal care.

    AI DOES

    Auto-fills templates, checks for missing entries, and spots unusual data points

    YOU DO

    Physically observe conditions and decide what details actually matter

  14. TASK 14

    Contact equipment manufacturers for technical assistance, as needed.

    AI DOES

    Drafts emails, finds manufacturer contacts, and summarizes technical manuals

    YOU DO

    Describe the actual field problem and decide what fix makes sense

  15. TASK 15

    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 DOES

    Analyzes soil maps, yield data, and scouting reports to suggest variable-rate prescription maps

    YOU DO

    Verify equipment calibration, apply field judgment, and take responsibility for safe chemical application

  16. TASK 16

    Apply precision agriculture information to specifically reduce the negative environmental impacts of farming practices.

    AI DOES

    Analyzes field data, flags problem zones, and recommends targeted input rates to cut waste

    YOU DO

    Walk the fields, verify real conditions, and decide what to actually apply and where

  17. TASK 17

    Participate in efforts to advance precision agriculture technology, such as developing advanced weed identification or automated spot spraying systems.

    AI DOES

    Trains image recognition models, flags weeds in photos, and helps write code for sprayer logic

    YOU DO

    Test systems in real fields, tune hardware, and make safety calls

  18. TASK 18

    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.

    AI DOES

    Generates training materials, explains GIS concepts, and processes map or sensor data to illustrate examples

    YOU DO

    Show up in the field and operate real equipment so learners can see it working live

  19. TASK 19

    Record environmental data from field samples of soil, air, water, or pests to monitor the effectiveness of integrated pest management (IPM) practices.

    AI DOES

    Organizes data logs, flags trends, and generates reports from entered environmental readings

    YOU DO

    Go into the field, collect real samples, and judge what the data means for your specific crops and conditions

  20. TASK 20SOURCE-BACKED TASK

    Prepare or present agricultural demonstrations.

    AI DOES

    Creates presentation slides and demo scripts

    YOU DO

    Connect with farmers and adapt live

    About this analysis

    70% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  21. TASK 21

    Collect information about soil or field attributes, yield data, or field boundaries, using field data recorders and basic geographic information systems (GIS).

    AI DOES

    Processes raw field data, flags anomalies, and helps generate maps and reports from GIS inputs

    YOU DO

    Walk the fields, operate equipment, and make real-world judgment calls about what data to collect and where

  22. TASK 22

    Conduct studies of nitrogen or alternative fertilizer application methods, quantities, or timing to ensure satisfaction of crop needs and minimization of leaching, runoff, or denitrification.

    AI DOES

    Reviews research literature, suggests study designs, and analyzes fertilizer trial data to spot patterns

    YOU DO

    Get into the field, collect real soil and crop samples, and judge what the data means for your specific land

  23. TASK 23

    Supervise pest or weed control operations, including locating and identifying pests or weeds, selecting chemicals and application methods, or scheduling application.

    AI DOES

    Identifies pests from photos, suggests chemical options, and helps plan spray schedules

    YOU DO

    Walk the fields, read local conditions, and make the final call on timing and safety

  24. TASK 24

    Devise cultural methods or environmental controls for plants for which guidelines are sketchy or nonexistent.

    AI DOES

    Searches literature, flags similar species, and suggests trial protocols based on related plant families

    YOU DO

    Watch the plants closely and adjust based on what you see in the field

  25. TASK 25

    Determine the germination rates of seeds planted in specified areas.

    AI DOES

    Calculates germination percentages, flags low-rate zones, and compares results to expected benchmarks

    YOU DO

    Walk the field, count real sprouts, and judge what environmental factors caused any problems

  26. TASK 26

    Conduct insect or plant disease surveys.

    AI DOES

    Identifies insects or diseases from photos and helps log and analyze survey data

    YOU DO

    Walk the fields, collect real samples, and judge conditions firsthand

  27. TASK 27

    Examine animals or crop specimens to determine the presence of diseases or other problems.

    AI DOES

    Analyzes photos and symptom data to suggest possible diseases or pest problems

    YOU DO

    Physically inspect specimens up close and use hands-on judgment in the field

  28. TASK 28

    Assess comparative soil erosion from various planting or tillage systems, such as conservation tillage with mulch or ridge till systems, no-till systems, or conventional tillage systems with or without moldboard plows.

    AI DOES

    Pulls research on erosion rates, helps model predictions, and summarizes data comparisons across tillage systems

    YOU DO

    Go to the field, collect soil samples, and judge real site conditions with your own eyes and tools

  29. TASK 29

    Perform laboratory or field testing, using spectrometers, nitrogen determination apparatus, air samplers, centrifuges, or potential hydrogen (pH) meters to perform tests.

    AI DOES

    Helps log results, spot patterns in data, and flag unusual readings

    YOU DO

    Handle equipment, collect samples, and make real-time judgment calls in the field

  30. TASK 30

    Supervise or train agricultural technicians or farm laborers.

    AI DOES

    Drafts training materials, schedules, and onboarding guides

    YOU DO

    Show up in person, demonstrate tasks, and build trust with your team

  31. TASK 31

    Perform general nursery duties, such as propagating standard varieties of plant materials, collecting and germinating seeds, maintaining cuttings of plants, or controlling environmental conditions.

    AI DOES

    Monitors sensor data for temperature and humidity, suggests propagation schedules, and flags environmental issues

    YOU DO

    Keep showing up to physically handle plants, take cuttings, and make real-time judgment calls in the greenhouse

  32. TASK 32

    Prepare culture media, following standard procedures.

    AI DOES

    Looks up standard protocols and flags steps or safety notes

    YOU DO

    Physically measure, mix, and sterilize media with precision and judgment

  33. TASK 33SOURCE-BACKED TASK

    Document and maintain records of precision agriculture information.

    AI DOES

    Captures and organizes field data automatically

    YOU DO

    Verify accuracy and decide what matters

    About this analysis

    39% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  34. TASK 34

    Prepare laboratory samples for analysis, following proper protocols to ensure that they will be stored, prepared, and disposed of efficiently and effectively.

    AI DOES

    Suggests protocols, generates labeling systems, and tracks sample records digitally

    YOU DO

    Physically collect, handle, and store samples following safety steps

  35. TASK 35

    Perform tests on seeds to evaluate seed viability.

    AI DOES

    Helps log results, spot patterns in germination data, and flag low-viability batches

    YOU DO

    Handle seeds physically, run lab tests, and judge real-world conditions

  36. TASK 36SOURCE-BACKED TASK

    Prepare data summaries, reports, or analyses that include results, charts, or graphs to document research findings and results.

    AI DOES

    Generates charts, graphs, and summary statistics

    YOU DO

    Choose what story the data tells

    About this analysis

    35% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  37. TASK 37SOURCE-BACKED TASK

    Respond to general inquiries or requests from the public.

    AI DOES

    Drafts initial responses and pulls relevant information

    YOU DO

    Judge tone, context, and special needs

    About this analysis

    16% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  38. TASK 38SOURCE-BACKED TASK

    Identify spatial coordinates, using remote sensing and Global Positioning System (GPS) data.

    AI DOES

    Processes satellite data and calculates rough coordinates

    YOU DO

    Verify accuracy and choose the right method

    About this analysis

    0% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

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Data sources and attribution

This page includes information from the O*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. rtwoai has modified all or some of this information. USDOL/ETA has not approved, endorsed, or tested these modifications. O*NET® is a trademark of USDOL/ETA.

Wage and employment figures are from the U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics (2025). Job outlook is from the BLS Employment Projections program, 2024–34. BLS data are in the public domain. BLS has not reviewed or endorsed this page.

Task collaboration data is from the Anthropic Economic Index, release 2025-03-27, used under the CC BY 4.0 license. Anthropic has not reviewed or endorsed this page.

How we describe AI use in each task is our own characterization, not a measurement of whether AI can replace this job. Microsoft note that their metrics "should not be misconstrued or misrepresented as measuring the ability of AI to replace jobs," and that there is more to an occupation than the sum of its tasks.