weeddetectionprojects Object Detection Dataset and Pre-Trained Model by elf

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Explore Dataset

Here are a few use cases for this project:

Precision Agriculture: This model can be used in precision agriculture to identify weed from crops in a field. This helps farmers identify areas with high weed density, allowing precise application of herbicides, reducing cost and environmental impact.
Automated Gardening Services: Home and garden maintenance companies could integrate this model into their services to offer smart weed recognition and removal, revolutionizing the way we maintain our gardens at home.
Weed Mapping: Environmental scientists could use the model to map the spread of invasive weed species over time. This can help monitor changes in an ecosystem and plan interventions.
Educational Tool: Educational institutions could use this computer vision model as an educational tool to teach students about different types of weed and how to distinguish them from other plants.
Drone Applications: Integration of this model into drones for large scale weed surveying in farming and environmental management. This could facilitate rapid and large-scale weed identification, helping managers make rapid decisions about weed management.

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{
                            weeddetectionprojects_dataset,
                            title = { weeddetectionprojects Dataset },
                            type = { Open Source Dataset },
                            author = { elf },
                            howpublished = { \url{ https://universe.roboflow.com/elf-lh29c/weeddetectionprojects } },
                            url = { https://universe.roboflow.com/elf-lh29c/weeddetectionprojects },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { sep },
                            note = { visited on 2024-04-25 },
                            }