Black_rot_leaves Object Detection Dataset and Pre-Trained Model by margaly

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Here are a few use cases for this project:

Agricultural Disease Monitoring: This model can be used to continuously monitor crops in a field. Early detection of diseases like black rot or leaf blight can help farmers to take swift action, ensuring healthy growth and increased production.
Smart Gardening Apps: The model could be integrated into gardening apps to help individuals identify the health condition of their plants. It could provide tips for treatment upon detecting any disease at the early stage.
Forestry and Conservation: Organizations managing forests can use this model to monitor tree health, enabling swift intervention when disease outbreaks are detected, thus ensuring preservation and sustainability of forests.
Biosecurity and Quarantine Services: This model could be employed by quarantine services to automatically inspect and detect any leaf-borne diseases on plants being imported or exported, helping to prevent the spread of harmful plant diseases to new locations.
Agricultural R&D: Research institutions can use this model as a tool for studying plant diseases. With the model's help, they can perform large-scale analysis faster and more accurately, expediting the development of treatments and preventive measures.

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{
                            black_rot_leaves_dataset,
                            title = { Black_rot_leaves Dataset },
                            type = { Open Source Dataset },
                            author = { margaly },
                            howpublished = { \url{ https://universe.roboflow.com/margaly/black_rot_leaves } },
                            url = { https://universe.roboflow.com/margaly/black_rot_leaves },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jan },
                            note = { visited on 2024-05-07 },
                            }