Arvores Computer Vision Project
Updated 3 years ago
Here are a few use cases for this project:
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Forest Conservation: This model can be used by conservationists or environmental agencies to track the spread and health of various oaks, including Corktrees. It can be essential in understanding forest growth, assessing adverse effects of climate change or identifying disease outbreaks.
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Land Management: Governments or land management agencies can use this model to map and monitor the distribution of oak trees on public lands. This data can inform land management strategies and decisions, for instance, in planting or cutting trees, or preventing the spread of invasive species.
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Real Estate Development: Developers and urban planners can use this to understand the distribution of certain trees, particularly if they're planning building projects in or near wooded areas. It can help assess the environmental impact and adhere to regulations protecting certain tree classes.
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Agriculture Industry: Farmers and vineyard owners may use this model to differentiate their fields from oak forests, particularly the Corktree forests, which may share borderlines. This can help in planning, managing, and protecting their crops.
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Education and Research: Scholars and students studying botany, forestry, or environmental science may use this model in their research to efficiently identify and categorise different oak varieties at a larger scale than manual methods allow. It could also be useful for educational demonstrations in these fields.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
arvores-7ssdj_dataset,
title = { Arvores Dataset },
type = { Open Source Dataset },
author = { diogoaraujoferreira4@gmail.com },
howpublished = { \url{ https://universe.roboflow.com/diogoaraujoferreira4-gmail-com/arvores-7ssdj } },
url = { https://universe.roboflow.com/diogoaraujoferreira4-gmail-com/arvores-7ssdj },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { feb },
note = { visited on 2024-11-29 },
}