greenbeans Computer Vision Project
Updated 2 years ago
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downloadsHere are a few use cases for this project:
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Coffee Quality Control: Farmers and coffee importers can use the "greenbeans" model to sort coffee beans based on their image-identified class, which will help automate the process of separating good quality beans from those that can't be sold.
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Academic Research: Researchers can use the "greenbeans" model to study different types of coffee beans and their growth processes, helping boost empirical studies in agriculture, botany, and coffee farming.
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Coffee Marketplaces: Online platforms selling coffee beans can use "greenbeans" to automatically categorize product images into their respective bean types, improving the product listings and allowing customers to find their desired variety more easily.
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Agricultural Consultancy: Agricultural advisors can use "greenbeans" to identify different coffee bean types and judge the quality of the crop, thus providing accurate consultancy and advice to farmers.
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Smart Farming Applications: Developing an app for farmers which utilizes the "greenbeans" model can help them in effective crop management by identifying which types of beans are predominantly grown in their 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{
greenbeans-pk7co_dataset,
title = { greenbeans Dataset },
type = { Open Source Dataset },
author = { Percobaan1 },
howpublished = { \url{ https://universe.roboflow.com/percobaan1-ot7ri/greenbeans-pk7co } },
url = { https://universe.roboflow.com/percobaan1-ot7ri/greenbeans-pk7co },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jun },
note = { visited on 2024-12-26 },
}