Updated 2 years ago
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downloadsHere are a few use cases for this project:
Precision Agriculture: This model can be used to monitor large strawberry fields and identify diseases early. With the help of drones or static cameras, farmers can apply treatments only on infected areas, reducing waste and improving productivity.
Greenhouse Management: In controlled environments like greenhouses, this model can assist in maintaining strawberry plant health. Regular automated scanning of plants can ensure early detection and treatment of diseases, ensuring healthy growth of strawberries.
Agricultural Research: Scientists and agricultural researchers can employ this model to study the impact and spread of various diseases in strawberry plants. This data would be crucial to develop new strategies or plant breeds that are more resistant to these diseases.
Smart Gardening Apps: Developers can incorporate the "Strawberry Diseases Detection" model into smart gardening apps. The app would help amateur gardeners and professionals alike to diagnose and treat disease in their strawberry plants right from an early stage.
Plant Nursery Management: Nurseries can integrate this model into their surveillance system to continually screen their strawberry plants. This proactive approach will not only ensure healthier plants for sale but also prevent any potential disease spread within the nursery.
Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ strawberry-diseases-detection_dataset, title = { Strawberry Diseases Detection Dataset }, type = { Open Source Dataset }, author = { Research Proj }, howpublished = { \url{ https://universe.roboflow.com/research-proj/strawberry-diseases-detection } }, url = { https://universe.roboflow.com/research-proj/strawberry-diseases-detection }, journal = { Roboflow Universe }, publisher = { Roboflow }, year = { 2023 }, month = { may }, note = { visited on 2025-03-05 }, }