Corn-Disease Computer Vision Project
Updated 8 months ago
Metrics
Here are a few use cases for this project:
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Agricultural Consultancy: Professionals can use this model to offer specific and accurate guidance to farmers and agricultural business owners. Diagnosis of corn diseases can help optimize crop yields by treating the disease early or applying preventive measures.
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Farm Management Applications: The model can be integrated into applications designed to help farmers manage their crops better. After taking pictures of their cornfields, the system can offer suggestions on managing detected diseases.
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Teaching and Research: Agricultural researchers and students can use the "Corn-Disease" model as a tool for studying plant diseases. It can provide practical, hands-on learning experience and data for research purposes.
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Pesticide/Fertilizer Manufacturers: Companies developing pesticides or fertilizers can use the model to test the efficacy of their products on corn diseases. They can monitor the progression or regression of disease after product application over time.
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Governmental Use for Food Security: Government agricultural bodies can use this model to monitor the health condition of corn crops on a national scale. This can help manage and predict food supply, especially in areas heavily dependent on corn as a food source.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
corn-disease-0cpvy_dataset,
title = { Corn-Disease Dataset },
type = { Open Source Dataset },
author = { TG },
howpublished = { \url{ https://universe.roboflow.com/tg-7lvnu/corn-disease-0cpvy } },
url = { https://universe.roboflow.com/tg-7lvnu/corn-disease-0cpvy },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { mar },
note = { visited on 2024-11-23 },
}