AIoT Smart Hydroponic System with Predictive Nutrient Control
An intelligent hydroponic system that predicts and automatically controls nutrient levels using AI and IoT.
Built by Rafly NF
This project is an AIoT-based smart hydroponic system designed to automate and optimize plant growth through intelligent monitoring and nutrient control. The system uses a microcontroller to read several important parameters, including: Water pH Total Dissolved Solids (TDS) Water temperature Air temperature The collected data is then analyzed using simple AI-based algorithms (trend analysis and predictive logic) to: Predict changes in pH and nutrient levels Make automatic decisions, such as adding nutrients or adjusting pH Maintain optimal conditions without manual intervention To achieve precise nutrient and pH regulation, the system integrates four independently controlled dosing pumps, each with a specific function: Nutrient A pump for macro nutrient supply Nutrient B pump for complementary nutrient balancing pH Up pump to increase pH when the solution becomes too acidic pH Down pump to decrease pH when the solution becomes too alkaline These pumps are automatically activated based on sensor readings and predictive analysis, ensuring accurate dosing and stable water conditions. All data is displayed in real-time through an IoT-based web dashboard that allows users to: Monitor plant conditions remotely View historical data in graphical form Receive automatic system recommendations Key Features Real-time monitoring of pH, TDS, water temperature, and air temperature Data visualization in the form of graphs (historical data) Predictive nutrient and pH control using simple AI algorithms Automatic control of four dosing pumps (Nutrient A, Nutrient B, pH Up, pH Down) Intelligent decision-making based on sensor data trends IoT-based web dashboard (accessible via smartphone or laptop) Abnormal condition notifications (optional) Project Objectives Improve the efficiency of hydroponic systems Reduce human error in nutrient management Develop a smart agriculture system based on technology Demonstrate that AI can be applied in a simple yet effective way in agriculture Conclu…