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Rice Leaf Disease detection obj Computer Vision Model

byProjectTask:
Object Detection
License:CC BY 4.010.6k views497 downloads

How to use the Rice Leaf Disease detection obj 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="rice-leaf-disease-detection-obj/2")
Give your agent everything it needs

Or, Use Free Healthy, Brown spot and Leaf blast 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, Brown spot, Leaf blast, Leaf Blight, Leaf Scald"
  },
  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 2.5k imagesRice Leaf Disease detection obj rice-leaf-diseases sample showing Leaf blastRice Leaf Disease detection obj rice-leaf-diseases sample showing Brown spotRice Leaf Disease detection obj rice-leaf-diseases sample showing Leaf ScaldRice Leaf Disease detection obj rice-leaf-diseases sample showing Brown spotRice Leaf Disease detection obj rice-leaf-diseases sample showing Brown spotRice Leaf Disease detection obj rice-leaf-diseases sample showing Narrow brown spotRice Leaf Disease detection obj rice-leaf-diseases sample showing Brown spotRice Leaf Disease detection obj rice-leaf-diseases sample showing Brown spotRice Leaf Disease detection obj rice-leaf-diseases sample showing Brown spotRice Leaf Disease detection obj rice-leaf-diseases sample showing healthyRice Leaf Disease detection obj rice-leaf-diseases sample showing Narrow brown spotRice Leaf Disease detection obj rice-leaf-diseases sample showing Narrow brown spot

About Rice Leaf Disease detection obj Model

Here are a few use cases for this project:

  1. Agriculture Management Systems: This model would allow for early detection of diseases in rice plants, enabling timely intervention to prevent significant yield reduction.

  2. Smart Farming Solutions: Integrated into Internet of Things (IoT) devices to monitor vast fields, the model would automate disease detection and reduce manual effort required by farmers.

  3. Pesticide Application: By identifying specific leaf diseases, the model could assist in determining the most appropriate pesticide to use, thereby reducing overuse and environmental impact.

  4. Agricultural Research: Scientists studying disease impact and prevalence in rice plants could use this model to expediently classify and document different diseases for their research.

  5. Agricultural Drone Monitoring: Drones equipped with this model could gather aerial images of the crops and identify the diseased crops without manual intervention, contributing to quicker and more efficient crop management.

Cite This Project

LicenseCC BY 4.0

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

@misc{ rice-leaf-disease-detection-obj_dataset,
  title = { Rice Leaf Disease detection obj Dataset },
  type = { Open Source Dataset },
  author = { Project },
  howpublished = { \url{ https://universe.roboflow.com/project-khcjh/rice-leaf-disease-detection-obj } },
  url = { https://universe.roboflow.com/project-khcjh/rice-leaf-disease-detection-obj },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2023 },
  month = { mar },
  note = { visited on 2026-07-29 },
}

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