Plants Computer Vision Project

Kiyong Kang

Updated 3 years ago

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Classes (3)
Tip_Burn
butterhead lettuce
romaine lettuce
Description

Here are a few use cases for this project:

  1. Smart Farming: The "Plants" model can be used by farmers to monitor the health and growth of romaine and butterhead lettuce crops by identifying Tip Burn and differentiating between lettuce types. This can help optimize crop yield and prevent crop loss due to diseases.

  2. Home Gardening Aid: Enthusiastic home gardeners can utilize the "Plants" model to identify and grow various types of lettuce in their gardens, ensuring they correctly distinguish between romaine and butterhead lettuce while also recognizing the symptoms of Tip Burn on their plants.

  3. Automatic Plant Sorting System: Greenhouses or indoor farming facilities can use the "Plants" model to automatically sort romaine lettuce from butterhead lettuce, enabling efficient storage, packaging, and distribution for fresher and longer-lasting produce.

  4. Educational Platform: The "Plants" model can serve as a tool for educational platforms or mobile apps focused on agriculture, horticulture, or botany. Students can learn to identify different lettuce types and early signs of Tip Burn, helping them understand the challenges faced in large-scale farming or commercial plant production.

  5. Remote Agricultural Consultation: Agricultural consultants and agronomists can use the "Plants" model to provide remote support to their clients by analyzing images of clients' lettuce crops to identify the type of lettuce and detect any cases of Tip Burn. This can help provide efficient, data-driven, and timely advice to farmers without the need for on-site visits.

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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{
                            plants-2l8n0_dataset,
                            title = { Plants Dataset },
                            type = { Open Source Dataset },
                            author = { Kiyong Kang },
                            howpublished = { \url{ https://universe.roboflow.com/kiyong-kang-qhti3/plants-2l8n0 } },
                            url = { https://universe.roboflow.com/kiyong-kang-qhti3/plants-2l8n0 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { apr },
                            note = { visited on 2024-12-03 },
                            }