Roboflow Universe Lauren Draetta Potato Leaves Disease Detection

Potato Leaves Disease Detection Computer Vision Project

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This model utilizes image detection to determine if a potato leaf is diseased or not. The classes that are present in the model are Healthy, Pest, and Fungus. The model is composed of data provided by researchers in Indonesia, where they captured images of potato leaves that exhibit the traits of the previously mentioned classes throughout farms. For best results, have your picture be a clear, up close image of the leaf you are trying to assess. This model was created for a class assignment in AI and Natural History at St. Mary’s College of Maryland.

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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.

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If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            potato-leaves-disease-detection-bsjop_dataset,
                            title = { Potato Leaves Disease Detection Dataset },
                            type = { Open Source Dataset },
                            author = { Lauren Draetta },
                            howpublished = { \url{ https://universe.roboflow.com/lauren-draetta-ltyqb/potato-leaves-disease-detection-bsjop } },
                            url = { https://universe.roboflow.com/lauren-draetta-ltyqb/potato-leaves-disease-detection-bsjop },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { apr },
                            note = { visited on 2024-06-24 },
                            }