Real Time Automatization of Greenhouse Environment Based on Cloud Computing

This study investigates the incorporation of real-time automation in greenhouse settings by utilizing cloud computing technology. This study focuses on the optimization and regulation of the greenhouse climate and conditions, which are essential for promoting optimal plant growth and agricultural productivity. Environmental factors such as temperature, humidity, and soil moisture are consistently monitored through the implementation of sensors and automated systems using 3 sensors. The primary innovation is found in the seamless incorporation of cloud-based computing, which facilitates the remote use of sensor data for purposes such as access, storage, and processing. Furthermore, the utilization of cloud infrastructure with mobile application enables enhanced scalability and accessibility for all stakeholders, hence enabling the capability of real-time monitoring and controlling from multiple geographical locations. Results demonstrate significant improvements in controlled conditions compared to non-controlled settings. Specifically, under controlled conditions, temperature variations were limited to 2.82°C (from 24.14°C to 26.96°C), compared to 9.09°C (from 20.13°C to 29.22°C) in non-controlled environments. Similarly, soil moisture was maintained between 88% and 100% in the controlled system, avoiding the complete depletion observed in non-controlled conditions.