Automation index
How much of a Pesticide applicator’s job can AI already do?
A farm log comes earlier. Treating without taking the neighbour or the river do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Pesticide applicator
22%
AI can already do 22% of this job.
#319 / 633
View rankingPesticide applicator
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 |
|---|---|---|---|
Log, product and the dose.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Apply, drift and the wind that gets up.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 12% | +2.2 |
The withholding period and the one who wants in now.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
PPE, the container and the collection point.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The neighbour, the bees and stopping in time.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Not taking the river, and signing the treatment.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- farm log
- pesticide dose
- drift
- withholding period
- PPE
- empty containers
- bees
- field wind
Sources for this job· O*NET 37-3012.00· ESCO/ISCO 6113
IS WORK OVER?
Statistician
26%
#201 / 633
View rankingStatistician
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 |
|---|---|---|---|
Model, clean and visualise.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Design sample, experiment and biases.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Client, questions and not overfitting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reproducibility, code and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Publication, review and data ethics.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not selling a p-value that does not hold.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model, clean and visualise
- Design sample, experiment and biases
- Client, questions and not overfitting
- Reproducibility, code and documentation
- Publication, review and data ethics
- Not selling a p-value that does not hold
- estadistico
- statistician
Sources for this job· O*NET 15-2041.00· ESCO/ISCO 2120