Agriculture
Crop management, plant protection and yield planning: where image analysis and forecasting hold in the field, and what hangs on subsidy law and data ownership.
What this is about
| Task | Classification |
|---|---|
| Detecting weeds and treating selectively | unproblematic |
| Spotting disease and pests on leaves | unproblematic |
| Estimating stand density and height | unproblematic |
| Forecasting yield | unproblematic |
| Observing animal health from behaviour and image | unproblematic |
| Preparing applications and documentation | limited |
| Generating area and subsidy figures automatically | limited, liability stays |
Why a foreign model fails on your own farm
A weed detection model trained on fields in another region meets different soil, different varieties, different light and a different camera height. Quality collapses without anything being wrong with the model. That is a distribution shift, see Overfitting, bias and variance.
- 01
Collect your own images
Over a season, at different times of day, in different weather. Two hundred good images of your own beat ten thousand foreign ones.
- 02
Label cleanly
Few classes, clear boundaries. Two people label the same fifty images and compare, see Annotation.
- 03
Adapt an existing model
Fine-tune on your own images rather than training from scratch.
- 04
Measure in the field
Not on the test set. The number that counts is input saved at equal outcome.
Data ownership
| Question | Where it is decided |
|---|---|
| Who owns the machine data produced? | Purchase contract or terms of use |
| Who may analyse and pass it on? | The same, usually in the manufacturer's favour |
| Can the farm get at the raw data? | Interfaces, often at a charge |
| What happens on changing manufacturer? | Export format, rarely regulated |
The code of conduct on agricultural data sharing is voluntary. A clause in the purchase contract is more effective than a reference to it.
Subsidy law and documentation
- Statements in subsidy applications are the farm's responsibility. An automatically produced area figure does not relieve it.
- Remote sensing is used on the authorities' side too. Differences between your own and the official analysis should be settled before filing.
- Plant protection records are prescribed and auditable. Automatic capture must cover every required field.
- Livestock keeping carries its own documentation duties, which behavioural analysis does not replace.
Operating in the field
- Compute on the device rather than in the cloud, because network coverage in a field cannot be assumed, see Edge AI.
- Match latency per image to working speed. Detection that arrives too late is worthless.
- Freeze and document the model version per season so that analyses stay comparable across years.
- Provide a fallback to blanket treatment when detection fails.
Entry sheet: agriculture
FREE ACCOUNT
Entry sheet for agriculture
This sector's tasks by risk class, the points to settle beforehand, and the metrics the benefit shows up in.
Checklist3 items