Maturity Peppers in Greenhouses by Object Detection Computer Vision Project
Updated a month ago
Here are a few use cases for this project:
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Greenhouse Automation: This computer vision model can be integrated into modernized greenhouse systems to automate the process of identifying which peppers are ready for harvesting, helping optimize yield and reduce labor costs.
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Smart Farming Applications: Farmers could use this model in smartphone-based applications, designed to inform when peppers are at their optimal picking times for better quality produce and higher market value.
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Agricultural Research: Educational institutions and research bodies can utilize this model to study the growth stages of peppers in different environmental conditions or with the use of different agricultural techniques.
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Food Supply Chain Management: Different stages of pepper maturity could have different logistics considerations. This model can help supply chain companies to segment, store, and transport peppers based on their maturity level.
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Precision Agriculture Technology: This model can be used to develop precision agriculture technologies such as drone-based monitoring systems or automated picking robots that precisely select fruits based on their maturity level.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
maturity-peppers-in-greenhouses-by-object-detection-eppna_dataset,
title = { Maturity Peppers in Greenhouses by Object Detection Dataset },
type = { Open Source Dataset },
author = { Andreis Workspace },
howpublished = { \url{ https://universe.roboflow.com/andreis-workspace/maturity-peppers-in-greenhouses-by-object-detection-eppna } },
url = { https://universe.roboflow.com/andreis-workspace/maturity-peppers-in-greenhouses-by-object-detection-eppna },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { aug },
note = { visited on 2024-09-21 },
}