plant_disease Object Detection Dataset and Pre-Trained Model by Akash

Images

3250 images

Explore Dataset

Here are a few use cases for this project:

Agricultural Health Monitoring: This model could be used widely in farming to monitor the health of crops in real-time. Farmers could capture images of the plants, and the model would alert them if a disease is detected, thereby enabling early diagnosis and treatment to prevent widespread damage and loss.
Greenhouse Maintenance: Commercial greenhouses could use the model to regularly check their plants for signs of disease. This would ensure optimal plant health and crop yield by detecting diseases before they can spread throughout the greenhouse.
Botanical Research: Researchers investigating plant diseases could utilize this model to identify the presence and progression of these specific plant diseases. It can streamline the research process by reducing manual examination needs.
Home Gardening Application: An application could be developed for home gardeners to input pictures of their plants and receive information on the health of their plants. If a disease is detected, the app can provide the recommended course of treatment.
Automated Farming Equipment: This model could be integrated into automated farming machinery, such as drones or other remote imaging devices. This would allow for extensive fields or difficult to access areas to be surveyed for disease symptoms without manual labor.

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{
                            plant_disease-imdag_dataset,
                            title = { plant_disease Dataset },
                            type = { Open Source Dataset },
                            author = { Akash },
                            howpublished = { \url{ https://universe.roboflow.com/akash-jxfmg/plant_disease-imdag } },
                            url = { https://universe.roboflow.com/akash-jxfmg/plant_disease-imdag },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { nov },
                            note = { visited on 2024-04-25 },
                            }