Rice Leaf Disease detection obj Computer Vision Project
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Here are a few use cases for this project:
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Agriculture Management Systems: This model would allow for early detection of diseases in rice plants, enabling timely intervention to prevent significant yield reduction.
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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.
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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.
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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.
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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.
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Cite This Project
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 2024-12-22 },
}