PDates_Dr Object Detection Dataset and Pre-Trained Model by Yanuar Bomantara

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Explore Dataset

Here are a few use cases for this project:

Agricultural Monitoring: PDates_Dr can be utilized for monitoring and analyzing Palm-Date farm conditions, growth stages, and health status for efficient farming management, crop yield prediction, and disease detection.
Palm-Date Harvest Optimization: The model can be employed to identify the optimal time for harvesting Palm-Dates based on their types, maturity stages, and overall health, ultimately leading to improved crop quality and higher yields.
Supply Chain Management: PDates_Dr can be used in the supply chain for automated sorting, grading, and packaging of different classes of Palm-Dates, improving overall efficiency and reducing manual labor.
Drought and Irrigation Management: By analyzing aerial images of Palm-Dates farms and their surrounding environment, this model can help identify areas that require better water management, assess drought impact, and develop targeted irrigation strategies.
Land-Use Management: PDates_Dr can be instrumental in analyzing land use for optimal Palm-Date farming by identifying healthy farms versus those that may require re-plantation or repurposing, guiding policy-making, and assisting with land-use planning decisions.

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{
                            pdates_dr_dataset,
                            title = { PDates_Dr Dataset },
                            type = { Open Source Dataset },
                            author = { Yanuar Bomantara },
                            howpublished = { \url{ https://universe.roboflow.com/yanuar-bomantara/pdates_dr } },
                            url = { https://universe.roboflow.com/yanuar-bomantara/pdates_dr },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { may },
                            note = { visited on 2024-05-06 },
                            }