plant disease detection Computer Vision Project
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Here are a few use cases for this project:
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Agricultural Health Monitoring: Farmers and agronomists can use this model to monitor crop health in their fields. The model can help to spot diseases early, allowing for timely treatment and potentially saving large portions of crop yields.
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Smart Gardening Applications: Home and community gardeners can use this model via a mobile app to monitor the health of their plants. The app can alert the gardener when it detects signs of disease, enabling early intervention.
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Plant Nursery Management: Plant nurseries can use this model to ensure that they're selling healthy plants and to quickly isolate and treat plants that show signs of disease. This can help reduce the spread of plant diseases within the nursery.
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Agricultural Research: Researchers can use this model to support studies on plant diseases. Early and accurate detection can aid experiments and the development of new disease control measures.
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Education and Training: The model can be used as an educational tool for students and professionals learning about plant pathology or horticulture. By visualizing the symptoms of different diseases, users can gain a better understanding of plant health issues.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
plant-disease-detection-k6wnw_dataset,
title = { plant disease detection Dataset },
type = { Open Source Dataset },
author = { thesis },
howpublished = { \url{ https://universe.roboflow.com/thesis-y6y0i/plant-disease-detection-k6wnw } },
url = { https://universe.roboflow.com/thesis-y6y0i/plant-disease-detection-k6wnw },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { may },
note = { visited on 2024-11-23 },
}