deteccao area rural Computer Vision Project

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Classes (8)
cafezal
carro
casa
estrada
mata
milharal
pasto soja

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Description

Here are a few use cases for this project:

  1. Agricultural Monitoring: The model can be used to track crop types (soja, milharal, cafezal) and their health status as well as monitor changes in land use over time.

  2. Land Use Planning: Government agencies can use this model to delineate different areas like mata (forest), estrada (road), casa (house), or pasto (pasture), facilitating effective land use planning and decision-making processes.

  3. Traffic and Transportation Management: By identifying carros (cars) and estrada (roads), the model could assist in assessing road conditions, traffic patterns, or mapping rural road networks.

  4. Environmental Conservation: Conservation organizations can exploit this model to locate and monitor areas of mata (forest) for deforestation or illegal activities, thereby helping protect biodiversity and natural environments.

  5. Real Estate and Infrastructure Development: This model could aid in identifying suitable locations for rural property development or infrastructure projects by distinguishing between different classes like casa (house), estrada (road), and various types of cultivated lands.

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Cite This Project

LICENSE
CC BY 4.0

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

                        @misc{
                            deteccao-area-rural_dataset,
                            title = { deteccao area rural Dataset },
                            type = { Open Source Dataset },
                            author = { Instituto nacional de telecomunicaes },
                            howpublished = { \url{ https://universe.roboflow.com/instituto-nacional-de-telecomunicaes/deteccao-area-rural } },
                            url = { https://universe.roboflow.com/instituto-nacional-de-telecomunicaes/deteccao-area-rural },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-09-22 },
                            }