plant village Computer Vision Project
Updated 3 years ago
Metrics
Here are a few use cases for this project:
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Agricultural Health Monitoring: The "Plant Village" computer vision model can be utilized in agriculture and gardening to distinguish between healthy and diseased leaves, enabling farmers and gardeners to better care for their plants and improve crop yields.
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Plant Disease Identification App: Develop a mobile app that uses the "Plant Village" model, allowing users to take a picture of a plant's leaves and receive instant feedback on whether the leaf is healthy, diseased, or damaged.
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Botanical Research: Scientists and botanists can use this model to assist with their research on plant diseases, allowing for quicker identification and development of treatments.
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Automated Greenhouse Management: The "Plant Village" model can be built into automated greenhouse systems to monitor plant health continuously and alert the greenhouse manager to any potential diseases in early stages.
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Educational Tool: The model can be used in a classroom or an online learning platform, teaching students about plant health, diseases, and the process of disease identification, offering a visual, interactive learning experience.
Please note that the example image provided does not seem to match the dataset's purpose. The "Plant Village" model requires leaf images, so images of a dark room with a few people may not yield accurate results.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
plant-village-9vp8g_dataset,
title = { plant village Dataset },
type = { Open Source Dataset },
author = { new-workspace-iuwda },
howpublished = { \url{ https://universe.roboflow.com/new-workspace-iuwda/plant-village-9vp8g } },
url = { https://universe.roboflow.com/new-workspace-iuwda/plant-village-9vp8g },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { apr },
note = { visited on 2024-11-23 },
}