Manzanas Computer Vision Project
Updated 2 years ago
Here are a few use cases for this project:
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Agriculture Sector: Farmers or botanists could utilize the Manzanas model to diagnose apple trees in their orchards for specific diseases, including russet, heridaAbierta, quemaduraSolar, podrida, picaduraAmarga. Through early detection, they can treat the issue and prevent further spread, thus maximizing yields.
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Machine Sorting and Quality Control: In food processing plants, the Manzanas model could be used for automated sorting of apples. It could help in detecting diseases and defects, separating high-quality apples from those that are affected.
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Educational Tool: It can be used as an educational tool for students studying agriculture or botany. They can gain practical training to identify common apple diseases through this model.
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App Development: Developers catering to the agricultural sector might use this model to create a handy mobile app. The app would allow users to capture an image of their apple and then diagnose potential diseases.
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Research and Development: The model can aid scientists and researchers in plant disease studies to easily classify and track the progression of apple diseases and the efficacy of different treatments.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
manzanas-iizb9_dataset,
title = { Manzanas Dataset },
type = { Open Source Dataset },
author = { Cristian Aliaga },
howpublished = { \url{ https://universe.roboflow.com/cristian-aliaga/manzanas-iizb9 } },
url = { https://universe.roboflow.com/cristian-aliaga/manzanas-iizb9 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { jul },
note = { visited on 2024-11-08 },
}