This repository provide one with the Arduino code to manage and run multiple AI models that automate and optimize the hydroponic agricultural systems. This codebase is designed to integrate seamlessly with hydroponic equipment, facilitating real-time environmental control and decision-making based on AI-driven data analytics.
- AI Integration: Utilizes multiple AI models to analyze and respond to data from environmental sensors.
- Real-Time Monitoring: Ensures the hydroponic system operates within optimal environmental parameters.
- Automated Adjustments: Adjusts variables like nutrient levels and lighting automatically based on AI recommendations.
- Error Handling: Robust error handling to maintain stability and performance under various conditions.
To get started with the AutoGrow-Arduino, follow these steps:
- Arduino IDE
- Compatible Arduino board (e.g., Uno, Mega)
- IoT sensors
- Clone this repository:
git clone https://github.com/AutoGrow-Solutions/AutoGrow-Arduino.git
- Open the Arduino IDE and load the project.
- Connect your Arduino board to your computer.
- Compile and upload the code to your Arduino board.
After installation, the system will begin monitoring and adjusting the hydroponic environment based on the configured parameters and AI model outputs.
We welcome contributions to the AutoGrow-Arduino project. Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.
This project is licensed under the GNU General Public License v3.0 - see the LICENSE.md file for details.
For support or more information, please email us at support@autogrow.com.