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?
Hydraulic engineer
27%
#164 / 633
View rankingHydraulic engineer
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 |
|---|---|---|---|
Hydrology, flows and the floodplain model.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Field, section and what LiDAR misses.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Drainage works, pumps and the outfall.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Water permits and the river authority.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The flood, the village and the yes to the channel.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not flood, and not trusting the model alone.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- model floodplains
- flows
- drainage
- channel works
- water permits
- pumps
- channel sections
- river authority
Sources for this job· O*NET 17-2051.00· ESCO/ISCO 2142