This paper presents the design and implementation of an IoT-based smart hydroponics system that integrates multiple sensors and actuators for automated plant cultivation.
The system uses an ESP32 microcontroller to collect data from various sensors, including temperature, humidity, light intensity, and ultrasonic distance. The collected data is stored in InfluxDB, allowing for real-time monitoring and analysis in Grafana. Key features of the system include automated control of LED grow lights and a water pump based on sensor readings. The paper discusses the system architecture, data storage, data visualization, and automation logic. Experimental results demonstrate the system's effectiveness in maintaining optimal conditions for plant growth.
The paper concludes with a discussion on the potential benefits of IoT-based hydroponics systems in sustainable agriculture and future research directions.
Waigumo, Mwaniki & Mwaniki, Ruth & Mansoor, Mustafa & Teli, Sabir. (2024). IOT Based Hydroponics System.
Source: Research Gate