Gladis_pines Computer Vision Project
Updated 10 months ago
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downloadHere are a few use cases for this project:
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Forestry Management: Use the "segmentace_sofronka" model to identify pine-seedling species in forest images to assist in sustainable reforestation efforts and monitor the growth and health of pine-seedling populations.
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Biodiversity Monitoring: Apply the model to assess the diversity of pine-seedling species in a specific area to contribute to conservation efforts and track changes in plant communities over time.
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Smart Agriculture: Implement the model in precision agriculture systems for early detection and monitoring of pine-seedling growth within tree nurseries, helping to optimize resources, develop better management practices, and reduce waste.
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Ecological Research: Utilize the "segmentace_sofronka" model as a tool for ecologists and botanists to accurately identify and study the distribution of pine-seedling species and their role in different ecosystems.
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Citizen Science: Integrate the model into mobile apps and platforms for citizen scientists, providing an easy-to-use tool for tracking and contributing to the study of pine-seedling populations in local and global environments.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
gladis_pines-mslgd_dataset,
title = { Gladis_pines Dataset },
type = { Open Source Dataset },
author = { CZU },
howpublished = { \url{ https://universe.roboflow.com/czu/gladis_pines-mslgd } },
url = { https://universe.roboflow.com/czu/gladis_pines-mslgd },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { nov },
note = { visited on 2024-09-24 },
}