apples Computer Vision Project

rodrigodealmeida00@gmail.com

Updated 2 years ago

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Description

Here are a few use cases for this project:

  1. Agricultural Analysis: The "apples" computer vision model could be used within the agriculture industry to assess apple orchard health. The model could help in identifying how many apples are available on trees at any given point, helping in predicting harvest times and yields.

  2. Autonomous Picking Robots: This model could be used to guide autonomous picking robots in apple orchards, aiding in the harvesting process. The robots would be able to identify and pick apples based on the outcome received from the model.

  3. Retail Management: Retail shops and supermarkets could use the model to maintain an automatic inventory of their apple stock. The model could identify and count the number of apples in the produce section.

  4. Educational Tool: The model could be used in educational programs, particularly biology or botany classes, to train students in identifying and distinguishing different parts of an apple tree.

  5. Food Processing: Food processing companies that specialize in apple products could use the model to ensure quality control. It could help in automatic sorting of apples, distinguishing good quality apples from bad ones.

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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{
                            apples-22m7c_dataset,
                            title = { apples Dataset },
                            type = { Open Source Dataset },
                            author = { rodrigodealmeida00@gmail.com },
                            howpublished = { \url{ https://universe.roboflow.com/rodrigodealmeida00-gmail-com/apples-22m7c } },
                            url = { https://universe.roboflow.com/rodrigodealmeida00-gmail-com/apples-22m7c },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { feb },
                            note = { visited on 2025-02-16 },
                            }
                        
                    

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