AgroTeam7

Automatic Boom Sprayers

Object Detection

Roboflow Universe AgroTeam7 Automatic Boom Sprayers

Automatic Boom Sprayers Computer Vision Project

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Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite This Project

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

@misc{
                            automatic-boom-sprayers_dataset,
                            title = { Automatic Boom Sprayers Dataset },
                            type = { Open Source Dataset },
                            author = { AgroTeam7 },
                            howpublished = { \url{ https://universe.roboflow.com/agroteam7/automatic-boom-sprayers } },
                            url = { https://universe.roboflow.com/agroteam7/automatic-boom-sprayers },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { mar },
                            note = { visited on 2024-04-29 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the Automatic Boom Sprayers project in your project.

Source

AgroTeam7

Last Updated

2 months ago

Project Type

Object Detection

Subject

pests

Views: 41

Views in previous 30 days: 0

Downloads: 5

Downloads in previous 30 days: 0

License

CC BY 4.0

Classes

asiatic-rice-borer brown-plant-hopper paddy-stem-maggot rice-gall-midge rice-leaf-caterpillar rice-leaf-hopper rice-leaf-roller rice-shell-pest rice-stem-fly rice-water-weevil thrips yellow-rice-borer