linecrop Computer Vision Project

Joel

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Description

Here are a few use cases for this project:

  1. Greenhouse Monitoring: The "linecrop" model can be used for monitoring activities in a greenhouse. This includes identifying whether plants are properly lined up, checking the presence of people for security purposes, and observing whether doors or posts are in good condition.

  2. Farm Management: This model can assist in automated farm management systems by identifying various line crops in a field, observing the presence of farm workers, and determining the conditions of farm infrastructures like posts or doors.

  3. Indoor Farming Systems: In vertical farming or hydroponic infrastructures, this model could ensure the correct placement of crops and identify any individuals entering the area. Additionally, it could analyze the state of doors for climate control purposes.

  4. Construction Site Monitoring: By detecting doors, posts, and people, "linecrop" could be used to automate the monitoring of a construction site, identifying potential safety hazards and ensuring personnel are where they're supposed to be.

  5. Airport Runway Maintenance: This model could be used to identify if runway markings match required standards ("linecrop"), observe maintenance personnel's location, and monitor the condition of doors and posts in airport buildings.

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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{
                            linecrop_dataset,
                            title = { linecrop Dataset },
                            type = { Open Source Dataset },
                            author = { Joel },
                            howpublished = { \url{ https://universe.roboflow.com/joel-r0lgo/linecrop } },
                            url = { https://universe.roboflow.com/joel-r0lgo/linecrop },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-11-22 },
                            }
                        
                    

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