Lavender Computer Vision Project

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Description

Here are a few use cases for this project:

  1. Agriculture: The "Lavender" model could be employed for species recognition and management within a lavender field. It could help identify the health of the plant, estimate the growth, and assess the need for watering or pest elimination.

  2. Smart Gardening Apps: The model could perform a crucial role in apps designed for plant identification, helping hobbyist gardeners or professionals verify different varieties of lavender, diagnose health issues, and offer care tips.

  3. Biodiversity Research: In biodiversity studies, the model could be used to analyze the presence and density of lavender species in different ecosystems and their response to environmental changes.

  4. Botanical Gardens: The "Lavender" model could be used in botanical gardens to provide interactive experiences for visitors, identifying and describing different lavender plant classes through an application.

  5. Cosmetics and Fragrance Industry: Companies could employ this model for quality control in fields where lavender is grown for essential oils or fragrance ingredients. It would help identify the best time for harvesting to maximize oil yield and quality.

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Cite This Project

LICENSE
Public Domain

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

                        @misc{
                            lavender_dataset,
                            title = { Lavender Dataset },
                            type = { Open Source Dataset },
                            author = { annabell.mears@students.plymouth.ac.uk },
                            howpublished = { \url{ https://universe.roboflow.com/annabell-mears-students-plymouth-ac-uk/lavender } },
                            url = { https://universe.roboflow.com/annabell-mears-students-plymouth-ac-uk/lavender },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { apr },
                            note = { visited on 2024-12-03 },
                            }