Tomato Disease Computer Vision Project
Here are a few use cases for this project:
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Smart Agriculture: This computer vision model can be integrated into mobile applications used by farmers to quickly detect the types of diseases affecting their tomato plants, helping them apply targeted remedies for optimal crop yield.
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Agriculture Research: Researchers studying plant diseases can utilize this model to identify and study the spread of various tomato diseases within controlled environments, thus making new breakthroughs in plant health.
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Pesticide Development: Companies developing pesticides can use this model as part of their testing phases to verify the efficacy of their products against these specific diseases.
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Plant Nursuries: Workers at plant nurseries can use the model to monitor the health of their tomatoes and quickly treat or remove any diseased plants, thus maintaining the overall health of the nursery.
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Educational Tool: This model can be used as an educational tool in classrooms, aiding students in botany or agronomy in their understanding of plant diseases and their visual characteristics.
Trained Model API
This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
tomato-disease-b518h_dataset,
title = { Tomato Disease Dataset },
type = { Open Source Dataset },
author = { Absolute Foods },
howpublished = { \url{ https://universe.roboflow.com/absolute-foods-ownqh/tomato-disease-b518h } },
url = { https://universe.roboflow.com/absolute-foods-ownqh/tomato-disease-b518h },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { jul },
note = { visited on 2024-07-27 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the Tomato Disease project in your project.