Seed Segmentation Computer Vision Project
Updated 2 years ago
Metrics
Here are a few use cases for this project:
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Agriculture Improvement: This model can be used by farmers or agricultural companies to analyze seed germination rates. This can contribute to a more efficient planting process by identifying seeds that have or haven't germinated, ultimately leading to improved yield.
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Plant Breeding: Plant breeders can use this model to select seeds that have germinated for propagation. This can assist in developing plant varieties that have higher germination rates or disease resistance.
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Seed Retail: Companies who sell seeds to gardeners or farmers could leverage this model to ensure their products' quality, by only including germinated seeds which would increase customer satisfaction.
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Educational Use: Schools and educational institutions could use this model as a teaching tool to explain and demonstrate germination processes in a clear and comprehensible manner.
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Biotechnology Research: In biotech, the model could facilitate experiments that require understanding of germination patterns, such as studying plant responses to various chemicals or environmental conditions.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
seed-segmentation-zidqm_dataset,
title = { Seed Segmentation Dataset },
type = { Open Source Dataset },
author = { Universidad Nacional de Colombia },
howpublished = { \url{ https://universe.roboflow.com/universidad-nacional-de-colombia-5exgg/seed-segmentation-zidqm } },
url = { https://universe.roboflow.com/universidad-nacional-de-colombia-5exgg/seed-segmentation-zidqm },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { may },
note = { visited on 2024-12-22 },
}