
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.
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
Your free lesson plan builds the skills that keep you ahead of AI.
A free set of short lessons, about 20 minutes each, at your own pace. No payment, no experience needed.
TURN THIS INTO SKILLS YOU CAN PROVE Early access
Earn a certificate in your job
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/ 4838 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.
- 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 DOESGenerates sampling grid suggestions from field maps, satellite imagery, and soil variability data
YOU DOWalk the field, apply local knowledge, and adjust grids based on real conditions AI can't see
- 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 DOESOverlays multiple map layers, spots patterns, and flags zones where yields don't match soil or chemical data
YOU DOUse your field experience to turn data patterns into practical, site-specific management decisions
- TASK 03
Analyze data from harvester monitors to develop yield maps.
AI DOESCleans raw harvest data, spots outliers, and generates draft yield maps
YOU DOVerify sensor errors and translate map patterns into real farm decisions
- TASK 04
Draw or read maps, such as soil, contour, or plat maps.
AI DOESReads and interprets map data, flags patterns, and overlays multiple map layers automatically
YOU DOVerify map accuracy against real field conditions and apply local farming knowledge
- TASK 05
Prepare reports in graphical or tabular form, summarizing field productivity or profitability.
AI DOESGenerates charts, tables, and written summaries from yield and cost data
YOU DOInterpret field-specific context and tailor insights for each farm's goals
- TASK 06
Analyze geospatial data to determine agricultural implications of factors such as soil quality, terrain, field productivity, fertilizers, or weather conditions.
AI DOESProcesses satellite imagery, runs soil and yield models, and flags problem zones on maps
YOU DOCombine field knowledge, farmer goals, and local conditions to turn data into real decisions
- TASK 07
Divide agricultural fields into georeferenced zones, based on soil characteristics and production potentials.
AI DOESAnalyzes soil data, satellite images, and yield maps to draft zone boundaries automatically
YOU DOWalk the field, check AI-suggested zones against real conditions, and make final calls
- 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 DOESProcesses sensor and yield data, generates map layers, spots patterns, and flags anomalies across fields
YOU DOApply local field knowledge and agronomic experience to turn map patterns into actionable farm decisions
- TASK 09
Recommend best crop varieties or seeding rates for specific field areas, based on analysis of geospatial data.
AI DOESProcesses soil maps, yield history, and satellite data to flag variety options and rate ranges
YOU DOBlend local crop knowledge, farmer preferences, and on-the-ground observations into the final recommendation
- TASK 10
Analyze remote sensing imagery to identify relationships between soil quality, crop canopy densities, light reflectance, and weather history.
AI DOESProcesses multispectral images, flags anomalies, and finds correlations across soil, canopy, and weather datasets
YOU DOApply local field knowledge and judgment to interpret what the patterns actually mean for that specific farm
- TASK 11
Identify areas in need of pesticide treatment by analyzing geospatial data to determine insect movement and damage patterns.
AI DOESScans maps and imagery to flag hotspots and predict pest spread using pattern recognition
YOU DOWalk fields to confirm what the data shows and decide the safest, smartest treatment plan
- TASK 12
Advise farmers on upgrading Global Positioning System (GPS) equipment to take advantage of newly installed advanced satellite technology.
AI DOESResearches compatible GPS systems, summarizes new satellite features, and drafts upgrade comparison reports
YOU DOVisit the farm, assess real field conditions, and guide the farmer through the right choice for their operation
- TASK 13
Record data pertaining to experimentation, research, or animal care.
AI DOESAuto-fills templates, checks for missing entries, and spots unusual data points
YOU DOPhysically observe conditions and decide what details actually matter
- TASK 14
Contact equipment manufacturers for technical assistance, as needed.
AI DOESDrafts emails, finds manufacturer contacts, and summarizes technical manuals
YOU DODescribe the actual field problem and decide what fix makes sense
- 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 DOESAnalyzes soil maps, yield data, and scouting reports to suggest variable-rate prescription maps
YOU DOVerify equipment calibration, apply field judgment, and take responsibility for safe chemical application
- TASK 16
Apply precision agriculture information to specifically reduce the negative environmental impacts of farming practices.
AI DOESAnalyzes field data, flags problem zones, and recommends targeted input rates to cut waste
YOU DOWalk the fields, verify real conditions, and decide what to actually apply and where
- TASK 17
Participate in efforts to advance precision agriculture technology, such as developing advanced weed identification or automated spot spraying systems.
AI DOESTrains image recognition models, flags weeds in photos, and helps write code for sprayer logic
YOU DOTest systems in real fields, tune hardware, and make safety calls
- 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 DOESGenerates training materials, explains GIS concepts, and processes map or sensor data to illustrate examples
YOU DOShow up in the field and operate real equipment so learners can see it working live
- 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 DOESOrganizes data logs, flags trends, and generates reports from entered environmental readings
YOU DOGo into the field, collect real samples, and judge what the data means for your specific crops and conditions
- TASK 20SOURCE-BACKED TASK
Prepare or present agricultural demonstrations.
AI DOESCreates presentation slides and demo scripts
YOU DOConnect with farmers and adapt live
About this analysis
70% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium
- 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 DOESProcesses raw field data, flags anomalies, and helps generate maps and reports from GIS inputs
YOU DOWalk the fields, operate equipment, and make real-world judgment calls about what data to collect and where
- 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 DOESReviews research literature, suggests study designs, and analyzes fertilizer trial data to spot patterns
YOU DOGet into the field, collect real soil and crop samples, and judge what the data means for your specific land
- TASK 23
Supervise pest or weed control operations, including locating and identifying pests or weeds, selecting chemicals and application methods, or scheduling application.
AI DOESIdentifies pests from photos, suggests chemical options, and helps plan spray schedules
YOU DOWalk the fields, read local conditions, and make the final call on timing and safety
- TASK 24
Devise cultural methods or environmental controls for plants for which guidelines are sketchy or nonexistent.
AI DOESSearches literature, flags similar species, and suggests trial protocols based on related plant families
YOU DOWatch the plants closely and adjust based on what you see in the field
- TASK 25
Determine the germination rates of seeds planted in specified areas.
AI DOESCalculates germination percentages, flags low-rate zones, and compares results to expected benchmarks
YOU DOWalk the field, count real sprouts, and judge what environmental factors caused any problems
- TASK 26
Conduct insect or plant disease surveys.
AI DOESIdentifies insects or diseases from photos and helps log and analyze survey data
YOU DOWalk the fields, collect real samples, and judge conditions firsthand
- TASK 27
Examine animals or crop specimens to determine the presence of diseases or other problems.
AI DOESAnalyzes photos and symptom data to suggest possible diseases or pest problems
YOU DOPhysically inspect specimens up close and use hands-on judgment in the field
- 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 DOESPulls research on erosion rates, helps model predictions, and summarizes data comparisons across tillage systems
YOU DOGo to the field, collect soil samples, and judge real site conditions with your own eyes and tools
- TASK 29
Perform laboratory or field testing, using spectrometers, nitrogen determination apparatus, air samplers, centrifuges, or potential hydrogen (pH) meters to perform tests.
AI DOESHelps log results, spot patterns in data, and flag unusual readings
YOU DOHandle equipment, collect samples, and make real-time judgment calls in the field
- TASK 30
Supervise or train agricultural technicians or farm laborers.
AI DOESDrafts training materials, schedules, and onboarding guides
YOU DOShow up in person, demonstrate tasks, and build trust with your team
- 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 DOESMonitors sensor data for temperature and humidity, suggests propagation schedules, and flags environmental issues
YOU DOKeep showing up to physically handle plants, take cuttings, and make real-time judgment calls in the greenhouse
- TASK 32
Prepare culture media, following standard procedures.
AI DOESLooks up standard protocols and flags steps or safety notes
YOU DOPhysically measure, mix, and sterilize media with precision and judgment
- TASK 33SOURCE-BACKED TASK
Document and maintain records of precision agriculture information.
AI DOESCaptures and organizes field data automatically
YOU DOVerify accuracy and decide what matters
About this analysis
39% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium
- 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 DOESSuggests protocols, generates labeling systems, and tracks sample records digitally
YOU DOPhysically collect, handle, and store samples following safety steps
- TASK 35
Perform tests on seeds to evaluate seed viability.
AI DOESHelps log results, spot patterns in germination data, and flag low-viability batches
YOU DOHandle seeds physically, run lab tests, and judge real-world conditions
- TASK 36SOURCE-BACKED TASK
Prepare data summaries, reports, or analyses that include results, charts, or graphs to document research findings and results.
AI DOESGenerates charts, graphs, and summary statistics
YOU DOChoose what story the data tells
About this analysis
35% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium
- TASK 37SOURCE-BACKED TASK
Respond to general inquiries or requests from the public.
AI DOESDrafts initial responses and pulls relevant information
YOU DOJudge tone, context, and special needs
About this analysis
16% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium
- TASK 38SOURCE-BACKED TASK
Identify spatial coordinates, using remote sensing and Global Positioning System (GPS) data.
AI DOESProcesses satellite data and calculates rough coordinates
YOU DOVerify accuracy and choose the right method
About this analysis
0% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium
START LEARNING AI
Practice AI.
Use your judgment.
There are 38 short lessons for this job, about 15 minutes each. Each one starts from a task above and teaches the part that stays with you.
Try a free lesson