How the AI crop disease assistant works
The assistant uses crop, symptom and field-context information to structure a preliminary assessment. It should not be treated as a confirmed diagnosis.
What information helps
Include crop variety, plant age, affected plant part, visible symptoms, recent weather, irrigation and whether nearby plants show similar symptoms. A clear close-up and whole-plant photo can improve a future image-analysis workflow.
Important farmer safety note
Do not apply pesticides solely from an AI suggestion. Confirm the problem using trusted agricultural guidance, product labels and qualified local expertise before using any regulated farm input.
Frequently asked questions
Can AGRIVA identify a disease from a photo?
The page is prepared for a future image-analysis integration. A photo-based result should still be presented as a possible identification, not certainty.
Can the assistant connect to AGRIVA products?
Yes. After a verified problem category is available, AGRIVA can show relevant educational articles and approved marketplace products without making an unsupported treatment claim.