玉米种子 Computer Vision Project
Here are a few use cases for this project:
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Agricultural Quality Control: The "玉米种子" model can be used in agricultural processes or industries to sort out healthy and normal seeds from the rest for planting. It assists in ensuring that only viable seeds proceed for planting, ensuring higher crop yield.
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Gardening and Landscaping Tools: It could be incorporated into mobile apps for gardeners or landscapers, where bulk seeds can be analyzed to separate the good from the bad before sowing them.
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Seed Research and Development: The model can be leveraged in the field of botany and plant biology to study the characteristics associated with "normal," "dead," and "unnormal" seeds. It could help in understanding why some seeds don't germinate and enhance seed development processes.
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Regulatory Compliance: For agricultural regulatory bodies, this model can be used to screen imported or exported corn seeds to meet the required agricultural standards.
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Biodiversity loss studies: Environmental scientists could use the model to investigate seed death rates in stored corn seed samples, giving insights into potential threats imposed by climate change, disease, or other factors to biodiversity.
Trained Model API
This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
-wcxqh_dataset,
title = { 玉米种子 Dataset },
type = { Open Source Dataset },
author = { zg },
howpublished = { \url{ https://universe.roboflow.com/zg-zinly/-wcxqh } },
url = { https://universe.roboflow.com/zg-zinly/-wcxqh },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { aug },
note = { visited on 2024-05-09 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the 玉米种子 project in your project.
