Enfermedades en hojas de arándanos Object Detection Dataset and Pre-Trained Model by PRY20220204 DrBerry

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Explore Dataset

Here are a few use cases for this project:

Agriculture Management: The model could be used by farmers and agri-technologists to monitor the health of blueberry plants and take immediate actions when specific diseases are detected. This can help in optimizing crop yield and quality.
Research: Botanists, plant pathologists, and researchers studying plant diseases can use this model to understand and investigate the specific effects of different diseases on blueberry leaves.
Educational Tool: The model can be used as an educational tool in universities and schools for studying plant diseases. It can aid teachers in explaining real-world examples of plant disease identification.
Automation in Greenhouses: This model can be integrated into an automated system to control and manage the health of blueberry plants in greenhouses, reducing the need for frequent manual inspection.
Mobile App for Gardeners: A simple mobile application can be developed integrating this model, so home gardeners and hobbyists can diagnose and handle diseases in their personal blueberry cultivation effectively.

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{
                            enfermedades-en-hojas-de-arandanos_dataset,
                            title = { Enfermedades en hojas de arándanos Dataset },
                            type = { Open Source Dataset },
                            author = { PRY20220204  DrBerry },
                            howpublished = { \url{ https://universe.roboflow.com/pry20220204-drberry/enfermedades-en-hojas-de-arandanos } },
                            url = { https://universe.roboflow.com/pry20220204-drberry/enfermedades-en-hojas-de-arandanos },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jan },
                            note = { visited on 2024-05-08 },
                            }