hellooooo

tobacco

Object Detection

1

tobacco Computer Vision Project

TRY THIS MODEL
Drop an image or

Images

6998 images
Explore Dataset

Here are a few use cases for this project:

  1. Agricultural Automation: The "Tobacco" model can be incorporated into automated farming robots or drones to monitor crop fields. It could help in rapidly detecting and managing weed infestation, enhancing crop yield, and reducing manual labor.

  2. Precision Agriculture: Integrated into farming software, the model could enhance decision-making processes by providing key insights about weed presence and potential crop threats. This could enhance crop management strategies and ensure more precise use of pesticides and weed control.

  3. Ecological Studies: Researchers or ecologists could use this model to study the spread of different weeds in tobacco fields, helping them understand the ecological dynamics of these fields and potentially develop eco-friendlier farming strategies.

  4. Weed Detection Apps: The model can be used to create mobile applications that help farmers identify weeds in their fields instantly. Farmers would need to capture an image of the suspicious plant, and the app would classify it as a weed or crop.

  5. Remote Sensing of Crop Fields: Experts in remote sensing could use this computer vision model to analyze drone or satellite imagery, identifying potential weed infestations across large agricultural areas and helping execute prompt and efficient actions.

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.

Cite This Project

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

@misc{
                            tobacco-js5vk_dataset,
                            title = { tobacco Dataset },
                            type = { Open Source Dataset },
                            author = { hellooooo },
                            howpublished = { \url{ https://universe.roboflow.com/hellooooo/tobacco-js5vk } },
                            url = { https://universe.roboflow.com/hellooooo/tobacco-js5vk },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { nov },
                            note = { visited on 2024-04-27 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the tobacco project in your project.

Source

hellooooo

Last Updated

a year ago

Project Type

Object Detection

Subject

weed-crop

Views: 320

Views in previous 30 days: 54

Downloads: 20

Downloads in previous 30 days: 6

License

CC BY 4.0

Classes