Kinnow Computer Vision Project

Capstone Team

Updated 8 months ago

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Classes (10)
Bruised
Fungal
Healthy-kinnow
Insect attack
Unhealthy-kinnow
Unhealthy-kinnow with depressions
black spot
depresion
healthy-kinnow
orange

Metrics

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Description

Here are a few use cases for this project:

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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

LICENSE
CC BY 4.0

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 },
                            }