IoT Project

Weed Detection

Classification

Weed Detection Computer Vision Project

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Project Name: " Weed detection using ESP32" Project overview: The target is to develop a model to detect weeds in the field and so that can easily be detected and detached.

Descriptions: We will use ESP32 which has a camera and real time image can be seen with it. We will train the model with tensorflow and than run the algorithm in the ESP32. Then based on the algorithm weeds can be detected from the field.

Links to external resources: https://universe.roboflow.com/roboflow-100/grass-weeds/dataset/2

Cite This Project

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

@misc{
                            weed-detection-5qkmh_dataset,
                            title = { Weed Detection Dataset },
                            type = { Open Source Dataset },
                            author = { IoT Project },
                            howpublished = { \url{ https://universe.roboflow.com/iot-project-cbpl8/weed-detection-5qkmh } },
                            url = { https://universe.roboflow.com/iot-project-cbpl8/weed-detection-5qkmh },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { sep },
                            note = { visited on 2024-04-28 },
                            }
                        

Connect Your Model With Program Logic

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Source

IoT Project

Last Updated

7 months ago

Project Type

Classification

Subject

Weed

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License

CC BY 4.0

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0 ridderzuring Unlabeled