Take a clear photo of an affected leaf.
Product demo: a corn leaf photo is uploaded, CropIntel checks photo quality and the crop, then returns a field readout of Common Rust with 96.4% match strength. Field guidance shows what to do and how to prevent spread. The Local risk map then shows community reports from nearby farms, and a Crop alert appears in the app for a nearby rust report.
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From a leaf photo to your next field check.
Take a photo
Photograph one affected leaf in good daylight.
Analyze
CropIntel securely sends the leaf photo to its prediction service for hosted analysis.
Results
Review the likely issue, match confidence, and next steps to consider.
Built for field decisions.
Built for field workflows
Upload a clear leaf photo from the field and get hosted analysis when you have a data connection.
Confidence context
Compare match strength with crop stage, field history, weather, and what you see in the field.
Recommended actions
A practical checklist before you call an agronomist or consider treatment.
Clear about confidence. Clear about limits.
Checks before every result
photo quality, crop match, then disease patterns
Leaf disease types recognized
plus a healthy baseline
Crops supported
corn - soybean - wheat - rice - tomato
AnalyzingAnalyzing...
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Possible Common Rust. Review confidence, crop stage, field history, weather, and local guidance before treatment.
Choose a crop to see what CropIntel can screen for.
Blight
Common Rust
Gray Leaf Spot
Clear answers for the field.
Still have a question?Get a clearer first look at leaf symptoms.
Get a likely crop disease match, confidence, and practical next steps.
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