oilpalm Computer Vision Project

oil palm polygon box

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Description

Here are a few use cases for this project:

  1. Sustainable Agriculture: This model could be utilized by agriculture industries to monitor the growth of oil palm plants, identifying whether they are healthy or diseased, effectively guiding the resources to where they'd be most beneficial.

  2. Deforestation Monitoring: Environmental agencies or research institutions could use the oilpalm model to track deforestation related to palm oil production, providing accurate data to fight against harmful practices.

  3. Automated Harvesting: Agri-tech companies could integrate this model in their automation systems to facilitate efficient and timely harvesting of mature palm oil fruits.

  4. Supply Chain Improvement: Palm oil producers can use the model to estimate their yield based on images and thus optimize their supply chain and distribution efforts.

  5. Training and Education: The model can be used in academic institutions for research purposes and to train agricultural students and professionals on palm oil fruit identification and classification.

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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{
                            oilpalm-elyyq_dataset,
                            title = { oilpalm Dataset },
                            type = { Open Source Dataset },
                            author = { oil palm polygon box },
                            howpublished = { \url{ https://universe.roboflow.com/oil-palm-polygon-box/oilpalm-elyyq } },
                            url = { https://universe.roboflow.com/oil-palm-polygon-box/oilpalm-elyyq },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-11-28 },
                            }
                        
                    

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