As of 13 August 2026, AI can diagnose what is wrong with your plant.
This still needs a person who signs their name to it.
Can you do it?
5 minutesto a draft.
30 minutesto something you’d act on.
Cost, all in£0
Skill needednone
Who has to check ityou
What the alternative costsNo priced plant-diagnosis alternative is listed in the supplied tools data.
If this goes wrong: you follow the wrong treatment, delay the right intervention and the plant may deteriorate beyond recovery.
What to actually do
Hand it to a person
The route this page recommends
A person who owns the outcome does this end to end, worth it when the failure is dear.
Use a tool built for this
Second choiceDo it yourself
The distant thirdA chat interface, no skill needed, and roughly 30 minutes until you can act on the result.
How to actually do it
- Open a chatbot that accepts images and take clear photographs of the whole plant, the affected areas, the undersides of leaves, the compost surface, the pot and any pests.
- Gather the plant name or best guess, its indoor or outdoor location, light levels, watering and feeding routine, recent repotting or weather changes, and when the symptoms began.
- Paste the supplied prompt into the chatbot, replace each bracketed slot with your details, and attach the photographs.
- Answer the chatbot's follow-up questions using observations from the plant rather than guesses about the cause.
- Inspect the plant for the checks it proposes, such as pests, drainage, wet or dry compost, root condition or damage, and compare what you find with each suggested cause.
- Apply only the safe immediate action that matches a cause supported by your inspection, and keep a record of what you changed.
- If the causes remain unclear, the plant is valuable, or it continues to decline, send the photographs and your observations to a garden centre, horticultural specialist or plant pathologist.
Prompt
Help me diagnose a problem with my plant without pretending to be certain. Use the photographs and details below to give me: the three most likely causes in order; the visible symptom that supports and weakens each cause; the specific checks I can do without specialist equipment; safe immediate actions; actions to avoid until the cause is clearer; and what would justify asking a garden centre, horticultural specialist or plant pathologist for help. Separate observations from inferences, ask only the most useful follow-up questions, and do not recommend a chemical treatment unless you explain exactly what it is intended to treat and what information is still missing. Consider common UK indoor and outdoor growing conditions. Plant name or best guess: [plant]. Location and light: [location and light]. When symptoms started: [timing]. Watering and feeding routine: [routine]. Recent changes, repotting or weather: [changes]. Symptoms, including which parts are affected: [symptoms]. Photographs: [attach clear photos of the whole plant, affected areas, the soil or compost surface, the pot and the underside of affected leaves].
Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.
What it gets wrong
- AI cannot smell the compost, inspect roots properly or feel how wet the growing medium is.
- It cannot reliably distinguish similar symptoms caused by watering, pests, disease, nutrient problems or environmental stress from one photograph.
- It cannot see missing context, such as a brief cold spell, an unnoticed draught, contaminated compost or damage caused during handling.
- It cannot guarantee that a treatment is suitable for your exact plant, pest or growing conditions.
- It cannot replace a physical inspection by someone who can examine the plant and its roots directly.
Even on a YES, the friction has a name: judgement under ambiguity, context depth and verification cost.
How we scored this
Five axes, each scored nought to two by hand: ten means AI carries the task cleanly, and the thresholds that turn a total into YES, PARTLY or NO are published in the methodology. Each axis name links to its definition.
| Axis | Score (0–2) |
|---|---|
| Output | 2 |
| Inputs | 2 |
| Verification | 1 |
| Liability | 2 |
| Effort delta | 1 |
| Total | 8 / 10 |
The methodology and its thresholds are published in full.
FAQ
- Can ChatGPT tell me what is wrong with my plant?
- Yes, it can give you a useful shortlist of likely causes from photographs and growing information. Treat it as triage rather than a confirmed diagnosis, because several plant problems look alike.
- Can AI diagnose plant diseases from a photo?
- It can identify visual patterns that may be consistent with some diseases, pests or growing problems. A photo alone cannot reliably confirm the cause, so inspect the plant and avoid treatment until the main alternatives have been considered.
- What photos do I need to diagnose a sick plant with AI?
- Take a whole-plant photo, close-ups of affected areas, the undersides of leaves, the compost surface, the pot and any visible pests. Include enough light and detail to show colour, texture, leaf damage and the plant's surroundings.
- Is it safe to use AI advice on my houseplants?
- It is reasonably safe for initial checks and low-risk actions such as improving light, checking drainage or removing clearly damaged leaves. Do not assume a suggested chemical treatment is correct, and ask a horticultural specialist when the plant is valuable or the problem is worsening.
Nearby answers
Assessed by gpt-5.6-luna (gpt-5.6-luna) on 2026-08-13, second-checked by an independent model. Wrong somewhere? Email [email protected] and it gets re-checked.
The newsletter
AI news, new answers and product picks, straight to your inbox.