Bee Gen is an innovative project that combines machine learning and agriculture to help farmers and honey bee populations. The project uses computer vision algorithms to detect pollen grains in honey bees, which can provide insights into the health of the honey bee population and the quality of the crops they pollinate. Additionally, Bee Gen can predict the growth rate of crops using machine learning algorithms, which can help farmers make informed decisions about their agricultural practices.
- Introduction
- How it Works
- Features
- Technologies Used
- Installation
- Usage
- Contributors
- Acknowledgements
- License
Bee Gen was developed as a part of the ADC (Agriculture Development Challenge) in 2022 and was selected as a finalist for its innovative approach to solving a critical problem facing the agriculture industry. The project uses machine learning algorithms to detect pollen grains in honey bees and predict the growth rate of crops.
The Bee Gen project uses computer vision algorithms to detect pollen grains in honey bees. This is done by analyzing images of honey bees and using machine learning algorithms to identify and count pollen grains. The project can also predict the growth rate of crops using machine learning algorithms. This is done by analyzing environmental factors such as temperature, precipitation, and soil moisture levels, as well as historical crop data.
- Detects pollen grains in honey bees using computer vision algorithms
- Predicts the growth rate of crops using machine learning algorithms
- Provides insights into the health of the honey bee population and the quality of the crops they pollinate
- Helps farmers make informed decisions about their agricultural practices
- Jupyter Notebook
- Machine Learning Libraries: TensorFlow, Keras, Scikit-learn, Pandas, NumPy
- Computer Vision Libraries: OpenCV, Pillow
To run Bee Gen on your local machine, you must have Python 3 installed. Clone the repository to your local machine and install the required libraries using the following command: pip install -r requirements.txt
To use Bee Gen, run the following command:
Open the bee_gen.ipynb file in Jupyter Notebook and run the cells to detect pollen grains in honey bees and predict the growth rate of crops.
This will start the program and you can use it to detect pollen grains in honey bees and predict the growth rate of crops.
- IMAD IQBAL KHAN
- JOUHAR ALI KV
We would like to thank the organizers of the ADC 2022 for providing us with the opportunity to develop this innovative project.
This project is licensed under the MIT License. See the LICENSE file for more details.
By MUADH