Leaf Detection Computer Vision Project
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Here are a few use cases for this project:
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Plant Classification App: An application that allows botanists, horticulturists, or plant enthusiasts to classify various plants by using this model to identify their leaf types.
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Agricultural Automation Systems: This model could be integrated into agricultural bots to identify specific leaf types for targeted treatment, like pesticide application, in precision farming.
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Environmental Research: Researchers studying biodiversity or environmental change could use this model to automatically identify and record leaf types in large sets of data, accelerating their work.
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Landscape Architectural Design: Landscape architects might use this tool to help identify plants by leaves in their design areas for better planning and designing.
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Identification of Invasive Species: Conservationists and environmentalists can use this model to detect the presence of invasive plant species in an areaquickly by their leaf type.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
leaf-detection-vaggn_dataset,
title = { Leaf Detection Dataset },
type = { Open Source Dataset },
author = { FTBG GBE Technology Team },
howpublished = { \url{ https://universe.roboflow.com/ftbg-gbe-technology-team-jllp2/leaf-detection-vaggn } },
url = { https://universe.roboflow.com/ftbg-gbe-technology-team-jllp2/leaf-detection-vaggn },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { feb },
note = { visited on 2024-11-27 },
}