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Vision Engine Features
Vision Engine FeaturesHow the four-stage detection flow worksDisease DetectionIdentify leaf and plant disease from visible symptomsPest IdentificationFlag visible pest damage and likely speciesYield EstimationApproximate yield from season field imageryNutrient Deficiency AnalysisTell deficiency apart from diseaseTreatment RecommendationsPlain-language next steps for review
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Vision Engine Features
OverviewDisease DetectionPest IdentificationYield EstimationNutrient Deficiency AnalysisTreatment Recommendations
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Your first scan is a minute away

Create an account and point your phone at a leaf. The engine reads it, scores it, and tells you what to do next - the same detection you can watch on this page.

Early blight
Leaf spot
Lesion
Scanning Tomato leafConfidence 89%
0%
Health ScoreAt risk
Capture. A phone photo of a leaf, plant or field.
Analyze. Disease, pest and deficiency signs, weighed together.
Score. A health score with confidence you can trust.
Recommend. A plain-language next step to review.
Start scanning your crops
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Agrofuze

AI crop vision that reads a leaf or field photo and returns a clear health score, confidence level and treatment suggestion - built to catch trouble before it spreads.

Vision Engine

Disease DetectionPest IdentificationYield EstimationNutrient Deficiency AnalysisTreatment Recommendations

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