Crop Disease Detection App for Likely Crop Problems

Share a crop photo in Krishi AI to identify likely disease, pest, nutrient, or other problems and receive AI-generated next steps. The result is not a definitive diagnosis.

Reviewed · Free to download · Contains ads

Krishi AI crop photo screen with camera and gallery choices
Current Krishi AI crop-photo entry screen. A clear, close photo gives the model more useful visual context.

How it works

Three simple actions, with the evidence and uncertainty kept visible.

  1. 01

    Photograph the affected crop

    Use a clear, well-lit close photo and include the affected leaf, stem, fruit, or surrounding area when possible.

  2. 02

    Submit the photo in Krishi AI

    Choose the camera or gallery, add useful crop context, and wait for AI-generated likely causes and next steps.

  3. 03

    Verify before treatment

    Compare the result with field conditions and ask a qualified local agronomist before a critical treatment decision.

Who this is for

Indian farmers, farm workers, and advisers who can see a crop symptom and want a structured starting point before local verification.

Supported scope

  • Crop photos selected from the camera or gallery in the Android app.
  • Likely disease, pest, nutrient, or other problem categories—not laboratory confirmation.
  • AI-generated next steps that require an internet connection and local judgment.

Example questions and actions

  • Share a close photo of leaf spots, yellowing, curling, holes, or visible pest damage.
  • Ask what additional crop, weather, soil, or recent-treatment context could change the likely causes.
  • Use the response to prepare questions for a local agronomist or extension worker.

Sources and data freshness

Crop-photo insights are AI-generated after submission. They may not include a current or authoritative source for every suggestion and do not establish model-training provenance. Review any cited document or date that appears, and independently check material decisions.

Page copy and evidence reviewed .

Limits and when to escalate

  • The result is not a definitive diagnosis and can be incomplete or wrong.
  • Lighting, image angle, crop stage, recent treatment, and overlapping problems can change the output.
  • Before applying pesticide, fungicide, fertilizer, or another consequential treatment, consult a qualified local agronomist.

Use this feature in the Krishi AI app

Download the app, review the visible source or date, and verify critical decisions locally.

Get it on Google Play
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