Reading AI Plant-Health Results

A plant-health result gives you a starting point for inspection. It does not establish every cause from a photo. Similar symptoms can come from different problems, and a confident result can still be wrong.

Read the result in context

Start with the supported plant and the health result. Then read any named condition or pest. Compare the result with the rest of the plant, the growing conditions, and changes over time. A result with no named cause does not necessarily mean that the plant is healthy.

Confidence needs context

Confidence describes a model result. It is not a promise that a diagnosis is correct on your photo. Poor framing, unclear symptoms, and similar-looking problems can affect the result. Use the score alongside your observations.

Supported plants

Tomato and cannabis diagnosis are available. Their supported conditions and response fields differ. Other plants on the roadmap are not supported for diagnosis yet. Read the plant condition reference before relying on a specific capability.

Decide what happens next

PlantLab returns a result. You decide whether to inspect more closely, record it, or seek further evidence before treatment. Your software can log results and create alerts. PlantLab does not control equipment on your behalf.

The service is currently free. Images are not retained. Diagnosis history is optional and does not include photos. Read the current API documentation for integration details.