Automation index
How much of a Agronomist’s job can AI already do?
A crop map and a dose come earlier. Walking the farm and not ruining the harvest do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Agronomist
22%
AI can already do 22% of this job.
#340 / 633
View rankingAgronomist
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Maps, doses and fertiliser and irrigation plans.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Projects, subsidy files and paperwork.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Field, sampling and pests.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Farmer, co-op and administration.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Water, soils and sustainability.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Not prescribing a pesticide blind.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Projects, subsidy files and paperwork
- Field, sampling and pests
- Farmer, co-op and administration
- Water, soils and sustainability
- Not prescribing a pesticide blind
- ingeniero agronomo
- agronomist
Sources for this job· O*NET 17-2021.00· ESCO/ISCO 2144
IS WORK OVER?
Tram driver
19%
#487 / 633
View rankingTram driver
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Checks, log and the cab.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Drive, stops and the pedestrian who steps out.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 8% | +1.9 |
Badly parked car, calls and Control.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Timetable, reliefs and rush hour.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The tourist, the bike and not over-hooting.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
Hit nobody, and make the terminus.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- drive trams
- urban stops
- pedestrians
- badly parked cars
- Control
- rush hour
- cab checks
- terminus
Sources for this job· O*NET 53-4041.00· ESCO/ISCO 8311