Weed Detection Computer Vision Project
IoT Project
Updated a year ago
Description
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
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Cite This Project
LICENSE
CC BY 4.0 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 2024-12-31 },
}