CottonWeedID15 Object Detection Dataset and Pre-Trained Model by Weed

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Explore Dataset

Here are a few use cases for this project:

Precision Agriculture: CottonWeedID15 can be integrated into precision agriculture systems to help farmers identify and target specific weed species in their fields, enabling more precise weed management and protecting crops from the competition for vital resources like nutrients, water, and sunlight.
Automated Weed Control: By incorporating CottonWeedID15 into autonomous farm equipment, such as robotic weeders or drones, these machines could efficiently and accurately target and remove or treat specific weeds without damaging surrounding cotton plants, leading to reduced reliance on manual labor and improved crop yield.
Plant Biodiversity Research: Environmental researchers can use CottonWeedID15 to accurately identify and differentiate weed species in various ecosystems or habitats, enabling a better understanding of plant biodiversity in affected regions, and helping develop more effective strategies for weed control and prevention.
Weed Mapping and Monitoring: CottonWeedID15 can be used in geographic information systems (GIS) to map and monitor the distribution of specific weed species over time, helping track the spread and dynamics of weed populations, informing decisions on targeted interventions, and evaluating the effectiveness of weed control measures.
Agricultural Education and Training: CottonWeedID15 can be employed as a tool for training farmers, agricultural students, and extension professionals, helping them easily recognize and differentiate weed species, and enhance their knowledge on effective weed management practices.

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{
                            cottonweedid15_dataset,
                            title = { CottonWeedID15 Dataset },
                            type = { Open Source Dataset },
                            author = { Weed },
                            howpublished = { \url{ https://universe.roboflow.com/weed-pp05h/cottonweedid15 } },
                            url = { https://universe.roboflow.com/weed-pp05h/cottonweedid15 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { oct },
                            note = { visited on 2024-04-28 },
                            }