Farmworkers and Laborers, Crop, Nursery, and Greenhouse
Low
AI agents have a narrow supporting role here, mainly helping with preparation or documentation rather than doing the physical work.
Where agents can help most
1
Coordinate seasonal planting crews
Use an agent to turn the day’s planting plan, field map, and crew notes into a simple assignment sheet for each section of the block.
2
Sort harvests and prepare packout loads
Use an agent to collect the harvest sheet, sort notes, and bin counts into a packout list for marketable, storage, and reject produce.
3
Assign farm tasks and report progress
Use an agent to turn your field notes, crop progress updates, and yield or pesticide records into a short message for the farm manager.
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O*NET-SOC 45-2092.00 · #687 of 923
Result context
How to read this result
Manually plant, cultivate, and harvest vegetables, fruits, nuts, horticultural specialties, and field crops. Use hand tools, such as shovels, trowels, hoes, tampers, pruning hooks, shears, and knives. Duties may include tilling soil and applying fertilizers; transplanting, weeding, thinning, or pruning crops; applying pesticides; or cleaning, grading, sorting, packing, and loading harvested products. May construct trellises, repair fences and farm buildings, or participate in irrigation activities.
National position
#687 of 923 occupations
Top 75% of occupations
Overall AI delegation potential
Low
Potential of score-contributing workflows
Limited · 57/100
Meaningful work covered
30%
The overall rating combines how useful the best agent workflows are with how much of the occupation they address. It is not an estimate of job automation or replacement.
Recommended agent uses
3 workflows you could delegate to AI
1
Coordinate seasonal planting crews
How you could use an agent
Use an agent to turn the day’s planting plan, field map, and crew notes into a simple assignment sheet for each section of the block. It can track row counts, seedling labels, and work progress so you can spot gaps, note damaged starts, and keep a clean planting log at the end of the day.
Where you stay involved
You direct the crew, check spacing and coverage in the field, and decide whether weather, damage, or equipment issues require changes to the plan.
Review level: Medium
2
Sort harvests and prepare packout loads
How you could use an agent
Use an agent to collect the harvest sheet, sort notes, and bin counts into a packout list for marketable, storage, and reject produce. It can help you keep track of what was graded, packed, labeled, and loaded so the truck tally matches what came off the field.
Where you stay involved
You inspect the produce, make the final call on quality bins, and stop the load if you see a food-safety or quality problem.
Review level: Medium
3
Assign farm tasks and report progress
How you could use an agent
Use an agent to turn your field notes, crop progress updates, and yield or pesticide records into a short message for the farm manager. It can also keep a running list of what each crew was assigned so you can report what got done and what still needs work.
Where you stay involved
You decide how to split the crew, adjust priorities when field conditions change, and tell management about shortages, weather delays, or other problems.
Review level: Medium
Supporting analysis
Why this occupation's AI delegation potential is Low
Underlying methodology score
49 / 100
This technical score determines the qualitative rating; it is not an estimate of the share of the occupation that can be automated.
Importance & frequency71
AI capability66
Digital actionability46
End-to-end leverage49
Safety & reversibility53
Meaningful-work coverage
30%
Physical-work modifier
Moderate
Safety modifier
Moderate
Qualitative judgment
No material constraint
O*NET task evidence
27 tasks
O*NET 31.0 · methodology 3.3.0. Every workflow passes an action-level physical-execution and protected human-and-veterinary clinical-action gate. Documentation workflows must own a complete digital loop and use digital task evidence only; support-only workflows are disclosed separately and excluded from scoring. Artistic, editorial, normative, and policy-dependent work receives a transparent human-judgment constraint. National ranking within 923 scored O*NET occupations under methodology 3.3.0.
