ABS_PMMP Computer Vision Project

palmoil

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Description

Here are a few use cases for this project:

  1. Agricultural Analysis: The ABS_PMMP computer vision model can be used to automatically classify and count the number of Palm-oil fruits in a farming environment, assisting farmers in their yield predictions and making harvesting more efficient.

  2. Quality Control: The model can be used in palm oil mills and factories to sort and differentiate between classes of palm oil fruits based on their quality, helping to improve the consistency and quality of palm oil production.

  3. Monitoring Deforestation: Through drone imagery, the model could help detect areas where palm oil fruit farming occurs, allowing organizations to monitor cases of illegal deforestation or over-farming tied to palm oil production.

  4. Effective Procurement: Wholesale buyers of palm oil fruits can use this model to facilitate procurement procedures by identifying the different classes of fruits and their quantities, which would inform decisions for purchasing.

  5. Environmental Research: Scientists and researchers can use the ABS_PMMP model to study distribution of Palm-oil-fruit classes in different areas, providing insights over changing environmental conditions and their impact on palm oil fruit classes.

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Cite This Project

LICENSE
CC BY 4.0

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

                        @misc{
                            abs_pmmp_dataset,
                            title = { ABS_PMMP Dataset },
                            type = { Open Source Dataset },
                            author = { palmoil },
                            howpublished = { \url{ https://universe.roboflow.com/palmoil/abs_pmmp } },
                            url = { https://universe.roboflow.com/palmoil/abs_pmmp },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-12-27 },
                            }