IS WORK OVER?

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

Pesticide 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.

TaskShareAIPoints
Log, product and the dose.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Apply, drift and the wind that gets up.
Estimate

No public source provides a precise figure. This is our estimate.

18%12%+2.2
The withholding period and the one who wants in now.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
PPE, the container and the collection point.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
The neighbour, the bees and stopping in time.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
Not taking the river, and signing the treatment.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%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

Meteorologist

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.

TaskShareAIPoints
Models, maps and a first forecast.
Estimate

No public source provides a precise figure. This is our estimate.

18%48%+8.6
Observation, sondes and satellite.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Warnings, civil protection and media.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Shift, uncertainty and not over-scaring.
Estimate

No public source provides a precise figure. This is our estimate.

16%18%+2.9
Verification, archives and research.
Estimate

No public source provides a precise figure. This is our estimate.

18%16%+2.9
Not sitting on a warning that saves someone.
Estimate

No public source provides a precise figure. This is our estimate.

16%14%+2.2
Total100%25%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • Models, maps and a first forecast
  • Observation, sondes and satellite
  • Warnings, civil protection and media
  • Shift, uncertainty and not over-scaring
  • Verification, archives and research
  • meteorologo

Sources for this job· O*NET 19-2021.00· ESCO/ISCO 2112

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