veg1-hcqsf/2 Computer Vision Project
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Here are a few use cases for this project:
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Quality Control in Food Industry: Uses of veg1 in the food industry include sorting onions in the processing line by identifying and automatically removing rotten or sprouting onions during packaging, thus improving efficiency and food safety.
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Agriculture Technology: Farmers could leverage the model to assess onion crop health in real-time, identifying areas of rotten or sprouting onions to aid in targeted treatment, waste reduction, and higher yield predictions.
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Grocery Store Automation: The model could be used in automated grocery store systems for real-time inventory management, detecting and removing rotten onions, and ensuring better customer service.
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Food Waste Management: NGOs and Food Waste Management organizations could utilize the model to sort collected food waste, separating rotten and sprouting onions for composting or recycling programs.
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Education and Research: The model could serve as an educational tool for agricultural students and botany researchers studying onion morphologies and health conditions, fostering efficient research in plant pathology.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
veg1-hcqsf-2_dataset,
title = { veg1-hcqsf/2 Dataset },
type = { Open Source Dataset },
author = { onion grading nx },
howpublished = { \url{ https://universe.roboflow.com/onion-grading-nx/veg1-hcqsf-2 } },
url = { https://universe.roboflow.com/onion-grading-nx/veg1-hcqsf-2 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { oct },
note = { visited on 2024-11-01 },
}