Soybean Crop Disease Computer Vision Model

bysemilooper1stphaseTask:
Object Detection
License:CC BY 4.0

How to use the Soybean Crop Disease Detection API

Try This Model

Drop an image here or click to upload

Or try a test image 

Code Snippets

from inference_sdk import InferenceHTTPClient

CLIENT = InferenceHTTPClient(
    api_url="https://serverless.roboflow.com",
    api_key="API_KEY"
)

result = CLIENT.infer("YOUR_IMAGE.jpg", model_id="soybean-crop-disease/6")
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Or, Use Free Healthy, Charcol rot and RAB Detection API

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Code
pip install inference-sdk
# 1. Import the library
from inference_sdk import InferenceHTTPClient

# 2. Connect to your workspace
client = InferenceHTTPClient(
  api_url="https://serverless.roboflow.com",
  api_key="API_KEY"
)

# 3. Run your workflow on an image
result = client.run_workflow(
  workspace_name="<YOUR_WORKSPACE>",
  workflow_id="<YOUR_WORKFLOW_ID>",
  images={
    "image": "YOUR_IMAGE.jpg"  # Path to your image file
  },
  parameters={
    "classes": "Healthy, Charcol rot, RAB, Target Leaf Spot"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Run on custom image

Drop an image here or click to upload

Detecting classes:
Or try a test image 

About Soybean Crop Disease Model

We are detecting the crop classes.The dataset contatins the soyean leaf images.

Cite This Project

LicenseCC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ soybean-crop-disease_dataset,
  title = { Soybean Crop Disease  Dataset },
  type = { Open Source Dataset },
  author = { semilooper1stphase },
  howpublished = { \url{ https://universe.roboflow.com/semilooper1stphase/soybean-crop-disease } },
  url = { https://universe.roboflow.com/semilooper1stphase/soybean-crop-disease },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2025 },
  month = { sep },
  note = { visited on 2026-07-29 },
}

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