StrawberryYP2018_data Computer Vision Project
Updated 2 years ago
Metrics
Here are a few use cases for this project:
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Agricultural Quality Control: The model can be utilized in an agricultural setting to automatically classify and sort strawberries based on their classes (Green_small, Green, Red, White) during harvesting. Farmers can then be informed about when and which strawberries should be harvested for optimum quality.
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Food Processing Industry: In the food processing and packaging units, this model can be used to categorize strawberries, which are processed into various products according to their type and maturity phase.
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Plant Health Monitoring: The categories can help diagnose the health and growth phase of strawberry plants in a garden or field. This will alert the farmers if there are any growth irregularities at an early stage.
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Retail: Grocery stores can utilize this model to maintain quality control and sell strawberries more effectively by identifying and separating strawberries according to their stages of ripeness.
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Research and Education: This model can be used for conducting research on strawberry growth cycles, creating a better understanding for developing improved cultivation techniques. An educational program for students of agriculture can also use this model to demonstrate the different stages of strawberry growth.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
strawberryyp2018_data_dataset,
title = { StrawberryYP2018_data Dataset },
type = { Open Source Dataset },
author = { Research Thesis Datasets },
howpublished = { \url{ https://universe.roboflow.com/research-thesis-datasets/strawberryyp2018_data } },
url = { https://universe.roboflow.com/research-thesis-datasets/strawberryyp2018_data },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { mar },
note = { visited on 2025-01-07 },
}