LEAF DISEASE NET (PRODUCT)

Our model is a deep learning–based citrus leaf disease detector built using MobileNetV2.

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Description

Digital Agronomist

Leaf Disease Net is a deep learning-based diagnosis tool specifically for citrus crops. Built with the MobileNetV2 architecture, it allows farmers to detect diseases in the field using just a smartphone camera.

Identification List

Detects major citrus ailments, including:

  • Citrus Canker and Scab.
  • Greening (Huanglongbing).
  • Nutrient Deficiencies vs. Pest damage.

Impact

By providing treatment recommendations alongside the diagnosis, this model helps prevent crop loss and reduces the need for broad-spectrum chemical use.

Live Deployment Sandbox

Leaf Disease Net (Bio-Scan Engine)
Agro-Neural Core Active
Click to browse or drop a leaf image here for real-time diagnostics

API Integration Guide

curl --location 'https://api.aimodelplace.com/api/v1/predict' \
--header 'Authorization: Bearer YOUR_API_KEY' \
--form 'model_slug="leaf-disease-net_44"' \
--form 'file=@"/path/to/your/leaf_image.jpg"'

Successful response format (JSON):

{
    "success": true,
    "predictions": [
        {
            "label": "Citrus Canker",
            "confidence": 98.45
        },
        {
            "label": "Citrus Greening",
            "confidence": 1.12
        },
        {
            "label": "Citrus Healthy Leaf",
            "confidence": 0.43
        }
    ]
}

For more detailed parameters and SDK examples, visit our Full API Documentation.

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