SolarGrowNet: Autonomous Greenhouse Monitoring and Control System for Gerbera
Year: 2025
Type: article
Abstract: This paper presents the development and implementation of an IoT-based solar-powered greenhouse monitoring system designed to optimize plant growth conditions through real-time monitoring and control. The system integrates a variety of sensors to measure critical environmental parameters such as temperature, humidity, soil moisture, air quality, light intensity, and activity. Actuators including fans, water pumps, and lighting systems are employed to maintain optimal conditions based on sensor data. A IoT based low cost computational module utilized as central processing unit, managing data collection and communication between components. Solar panels provide a sustainable and reliable power source, ensuring uninterrupted operation. The collected data is transmitted wirelessly to a user-friendly web application, enabling remote monitoring and control. Experimental results demonstrate the system's effectiveness in maintaining optimal greenhouse conditions, promoting healthier plant growth, and reducing manual intervention. This sustainable approach underscores the potential of integrating renewable energy sources with IoT technologies in agricultural applications.
Author: Vijaya N. Aher
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W4408840960