Universe

Corn-Disease Computer Vision Model

byTGTask:
Object Detection
License:CC BY 4.01.8k views55 downloads

How to use the Corn-Disease Detection API

Try This Model

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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="corn-disease-0cpvy/1")
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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": "Roya, Sano"
  },
  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 
See all 2.3k imagesCorn-Disease Plant-Disease sample showing SanoCorn-Disease Plant-Disease sample showing Roya, SanoCorn-Disease Plant-Disease sampleCorn-Disease Plant-Disease sample showing SanoCorn-Disease Plant-Disease sample showing RoyaCorn-Disease Plant-Disease sample showing RoyaCorn-Disease Plant-Disease sample showing RoyaCorn-Disease Plant-Disease sample showing SanoCorn-Disease Plant-Disease sample showing RoyaCorn-Disease Plant-Disease sample showing RoyaCorn-Disease Plant-Disease sample showing SanoCorn-Disease Plant-Disease sample showing Roya

About Corn-Disease Model

Here are a few use cases for this project:

  1. Agricultural Consultancy: Professionals can use this model to offer specific and accurate guidance to farmers and agricultural business owners. Diagnosis of corn diseases can help optimize crop yields by treating the disease early or applying preventive measures.

  2. Farm Management Applications: The model can be integrated into applications designed to help farmers manage their crops better. After taking pictures of their cornfields, the system can offer suggestions on managing detected diseases.

  3. Teaching and Research: Agricultural researchers and students can use the "Corn-Disease" model as a tool for studying plant diseases. It can provide practical, hands-on learning experience and data for research purposes.

  4. Pesticide/Fertilizer Manufacturers: Companies developing pesticides or fertilizers can use the model to test the efficacy of their products on corn diseases. They can monitor the progression or regression of disease after product application over time.

  5. Governmental Use for Food Security: Government agricultural bodies can use this model to monitor the health condition of corn crops on a national scale. This can help manage and predict food supply, especially in areas heavily dependent on corn as a food source.

Cite This Project

LicenseCC BY 4.0

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

@misc{ corn-disease-0cpvy_dataset,
  title = { Corn-Disease Dataset },
  type = { Open Source Dataset },
  author = { TG },
  howpublished = { \url{ https://universe.roboflow.com/tg-7lvnu/corn-disease-0cpvy } },
  url = { https://universe.roboflow.com/tg-7lvnu/corn-disease-0cpvy },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2024 },
  month = { mar },
  note = { visited on 2026-07-29 },
}

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