Vision Engine
Disease detection that reads the leaf, then shows its work
Agrofuze identifies common leaf and plant diseases from the symptoms visible in a photo - discoloration, lesion shape, spot patterns and spread - and puts a confidence figure on every call.
Diseases the engine looks for
Coverage centers on the high-frequency diseases that cost growers the most when caught late. The list keeps expanding as new symptom data is validated.
Early blight Late blight Leaf spot Powdery mildew Downy mildew Rust Bacterial spot Anthracnose Leaf curl Mosaic patterns
How confidence is calculated
- Strength and clarity of the symptom in the image.
- How closely the pattern matches a known disease signature versus a look-alike cause.
- Agreement across the affected areas found in the same photo.
- Image quality - focus, lighting and framing all shift the figure.
A low confidence read is surfaced as low, never rounded up into false certainty.
Worked example
One leaf, end to end
A single tomato leaf photo, from the moment it goes in to the diagnosis that comes out.
Early blight
Leaf spot
Lesion
Scanning Tomato leafConfidence 89%
71%
Image in - a phone photo of a tomato leaf
Early blight2 areas, lower leaf89%
Health scoreNeeds attention71%
Next stepIsolate affected leaves, review treatment
Diagnosis out - scored, explained, actionable
Detection is only half the job
A confirmed disease still needs a next step. See how the engine turns a finding into a suggestion you can review.
Treatment recommendations