Kinnow Computer Vision Project
Updated 8 months ago
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Here are a few use cases for this project:
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Agricultural Quality Control: Use this model to automatically sort Kinnow mandarins at the harvesting stage, separating the healthy fruits from the ones affected by fungi, insects, bruises, black spots or depressions.
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Plant Disease Detection: Utilize this model for identifying and analyzing diseases in kinnow crops during the growth period, aiding in swift disease management and prevention of widespread infection.
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Supermarket Inventory Management: Apply this model in supermarkets and grocery stores to assess the quality of kinnow mandarins received from suppliers, ensuring only the best fruits are stocked for customers.
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Research and Analysis: Use this model as a digital tool for researchers studying plant diseases, helping them document and understand the various factors contributing to the health of kinnow mandarins.
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Food Processing Industry: Deploy this model in juice factories or food processing plants for selecting the best quality kinnow mandarins for various products, thus ensuring high product standards.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
kinnow_dataset,
title = { Kinnow Dataset },
type = { Open Source Dataset },
author = { Capstone Team },
howpublished = { \url{ https://universe.roboflow.com/capstone-team/kinnow } },
url = { https://universe.roboflow.com/capstone-team/kinnow },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { mar },
note = { visited on 2024-11-17 },
}