Potato-Disease Object Detection Dataset and Pre-Trained Model by Final year project

Images

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Explore Dataset

Here are a few use cases for this project:

Agricultural Health Monitoring: Farmers can use this model to monitor the health of their potato crops. They can periodically capture images of potato leaves and use the model to identify signs of Early-Blight, Late-Blight, and discern them from healthy plants. This would allow them to take immediate action and minimize losses.
Smart Farming: In an IoT-based smart farming setup, this model can be integrated with drones or automated robots equipped with cameras. These devices can scan large fields in a short time and provide real-time reports on the health status of the potato crop.
Research and Development: Agricultural research institutions can use this computer vision model to study the impact of various factors (like weather, soil composition, etc.) on the presence and spread of potato diseases. This research could lead to the development of disease-resistant potato strains or effective treatment methods.
Educational Tool: "Potato-Disease" model could be used in agricultural universities and colleges to help students understand the visual indications of potato plant diseases. By comparing the results given by the model to real samples, students can gain practical experience in plant disease identification.
Pest Control Services: Companies that provide pest control or plant care services can leverage this model to offer precise disease identification and guide their interventions, saving time and improving the quality of results.

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{
                            potato-disease-balnv_dataset,
                            title = { Potato-Disease Dataset },
                            type = { Open Source Dataset },
                            author = { Final year project },
                            howpublished = { \url{ https://universe.roboflow.com/final-year-project-9cf4g/potato-disease-balnv } },
                            url = { https://universe.roboflow.com/final-year-project-9cf4g/potato-disease-balnv },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jul },
                            note = { visited on 2024-05-01 },
                            }