Object Detection Rice Leaf Diseases

Object Detection

Roboflow Universe SourceError Object Detection Rice Leaf Diseases

Object Detection Rice Leaf Diseases Computer Vision Project


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Here are a few use cases for this project:

  1. Agricultural Health Maintenance: Farmers, agronomists, and agro-technicians can use the model to regularly monitor the health of rice plantations, facilitating early detection of diseases or insect infestations, and prompt, targeted intervention.

  2. Precision Agriculture: The model could be incorporated into drones or other automated systems for large-scale surveillance of agricultural fields, enabling precise and efficient pest and disease control.

  3. Smart Farming Apps: App developers can use the model to create mobile applications that help farmers identify rice leaf diseases or insects by just taking a photo, providing a practical tool to support sustainable farming practices.

  4. Agricultural Research and Development: Researchers can leverage the model to study and track the spread of various diseases in rice crops, contributing to efforts to genetically modify plants for resistance and studying the impact of environment/climate change on crop disease prevalence.

  5. Educational Purpose: The model can be used for education and training purposes in agricultural colleges and training centers, demonstrating real-life examples of disease and pest detection, and informing about proper treatment processes.

Cite this Project

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

@misc{ object-detection-rice-leaf-diseases_dataset,
    title = { Object Detection  Rice Leaf Diseases Dataset },
    type = { Open Source Dataset },
    author = { SourceError },
    howpublished = { \url{ } },
    url = { },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { mar },
    note = { visited on 2023-11-30 },

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Last Updated

9 months ago

Project Type

Object Detection





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