Crop Disease Image Analysis API

{
  "crop_health": "healthy",
  "crops": ["wheat"],
  "predicted_diagnoses": [
    { "scientific_name": "Healthy" }
  ],
  "image_feedback": { "focus": "good", "distance": "good" },
  "errors": [],
  "green_trace_id": "3f9a0c7d-51be-4c02-8e6f-7a4d2b1c9e55"
}

{
  "crop_health": "unknown",
  "crops": [],
  "predicted_diagnoses": [],
  "image_feedback": { "focus": "bad", "distance": "good" },
  "errors": [
    {
      "message": "Potential issues with the image were detected. Check the image_feedback object for more information.",
      "type": "image_blurry"
    }
  ],
  "green_trace_id": "b27e6d14-0f3a-4a8c-9d51-6c3e8f2a7b90"
}

import requests

url = "https://healthygreens.co.in/api/v1/image-analysis"
headers = {
    "Authorization": "Bearer YOUR_API_KEY",
    "Accept-Language": "en",
}

with open("leaf.jpg", "rb") as f:
    response = requests.post(
        url,
        headers=headers,
        files={"image": ("leaf.jpg", f, "image/jpeg")},
        data={
            "application_used_image_gallery": "false",
            "application_id": "my-farm-app-01",   # optional
            "latitude": "12.9716",                 # optional, send with longitude
            "longitude": "77.5946",
        },
        timeout=30,
    )

result = response.json()
if result.get("errors"):
    print("Could not diagnose:", result["errors"][0]["type"])
else:
    print(result["crop_health"], result["crops"], result["predicted_diagnoses"][0]["scientific_name"])

// Node.js 18+ (run on your server, never expose the key in a browser)
import { readFile } from "node:fs/promises";

const form = new FormData();
form.append("image", new Blob([await readFile("leaf.jpg")], { type: "image/jpeg" }), "leaf.jpg");
form.append("application_used_image_gallery", "false");
form.append("application_id", "my-farm-app-01");  // optional
form.append("latitude", "12.9716");               // optional, send with longitude
form.append("longitude", "77.5946");

const response = await fetch("https://healthygreens.co.in/api/v1/image-analysis", {
  method: "POST",
  headers: {
    "Authorization": "Bearer YOUR_API_KEY",
    "Accept-Language": "en",
  },
  body: form,
});

const result = await response.json();
console.log(result.crop_health, result.crops, result.predicted_diagnoses);