Tomato pest&diseases Computer Vision Project
Updated 2 years ago
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Here are a few use cases for this project:
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Precision Agriculture: Farmers and agronomists can use the "Tomato pest&diseases" model to monitor tomato crop health, identify specific pest or disease issues early on, and apply targeted treatment to improve crop yield and minimize chemical usage.
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Greenhouse Management: Greenhouse operators can utilize this computer vision model to automatically detect and track the health of tomato plants within the controlled environment, enabling early intervention and preventing the spread of pests and diseases among plants.
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Plant Pathology Research: Researchers studying plant pathology can leverage the "Tomato pest&diseases" model to streamline their work, automate the identification of pests and diseases in tomato plants, and analyze the effectiveness of pest and disease control methods.
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Educational Tool: Educators can use the "Tomato pest&diseases" model as a resource to teach students about pests and diseases affecting tomato plants, helping students visually recognize and understand the effects of these issues on plant health.
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Home Gardening Support: Home gardeners growing tomato plants can integrate this computer vision model into gardening apps or smart garden systems, receiving alerts to potential pest or disease issues and guidance on treatment options to maintain healthy plants.
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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-pest-diseases_dataset,
title = { Tomato pest&diseases Dataset },
type = { Open Source Dataset },
author = { Absolute },
howpublished = { \url{ https://universe.roboflow.com/absolute/tomato-pest-diseases } },
url = { https://universe.roboflow.com/absolute/tomato-pest-diseases },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jan },
note = { visited on 2024-11-21 },
}