tomato-diseases Computer Vision Project
Updated 2 years ago
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downloadsHere are a few use cases for this project:
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Agricultural Disease Control - This model can be incorporated into a mobile application used by farmers or agricultural inspectors to monitor and diagnose tomato diseases on spot, thus enable them to take quick necessary preventive measures.
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Automated Greenhouse Management Systems - The tomato-diseases model can be integrated into greenhouse automation systems. IoT-based sensors coupled with computer vision can continuously monitor crops, detect diseases early, and alert farmers, ultimately improving yield.
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Agricultural Research - The model can be used by researchers to study the prevalence and spread of different tomato diseases, recognize patterns or factors leading to certain diseases, and predict future outbreaks.
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Grocery Store Quality Control - Grocery stores can use this model to routinely check the quality of their tomato produce, discard disease-infected ones, and maintain high quality and safe products for their customers.
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Supply Chain Management - As part of a comprehensive quality control throughout the supply chain, the model can help detect subpar, disease-infected tomatoes during sorting, packaging, or transport, ensuring only healthy tomatoes make it to the consumers.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
tomato-diseases-uki8z_dataset,
title = { tomato-diseases Dataset },
type = { Open Source Dataset },
author = { Carryl Dela Torre },
howpublished = { \url{ https://universe.roboflow.com/carryl-dela-torre-dof7j/tomato-diseases-uki8z } },
url = { https://universe.roboflow.com/carryl-dela-torre-dof7j/tomato-diseases-uki8z },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { apr },
note = { visited on 2025-02-18 },
}