Name: Weed Detection In Cotton fields Dataset
License: https://creativecommons.org/licenses/by/4.0/

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Explore Dataset

Here are a few use cases for this project:

Precision Agriculture: This model can be used by agribusiness or farmers to automate the detection of weeds in cotton fields. Once identified, specific eradication measures can be implemented, reducing the time and cost of manual weed inspection and removal.
Crop Health Management Software: Application developers can use this model to create solutions that monitor crop health in real-time to identify and address weed infestations.
Educational Resources for Agronomy or Botany: The model could be used in educational setups to help students or researchers learn and distinguish between different types of weeds specifically seen in cotton fields.
Development of Autonomous Farming Equipment: Companies designing AI-driven farming equipment could use this model to enhance the 'weed detection' capability of their devices, enabling autonomous weeding operations.
Pesticide Management: The model can be used to identify specific weed types in cotton fields to apply appropriate and targeted pesticides, thus reducing overall pesticide usage and improving environmental sustainability.

Cite This Project

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

@misc{
                            weed-detection-in-cotton-fields_dataset,
                            title = { Weed Detection In Cotton fields  Dataset },
                            type = { Open Source Dataset },
                            author = { KBS  Mel },
                            howpublished = { \url{ https://universe.roboflow.com/kbs-mel/weed-detection-in-cotton-fields } },
                            url = { https://universe.roboflow.com/kbs-mel/weed-detection-in-cotton-fields },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-04-26 },
                            }