Synchronization of Data Transmission between Edge and Cloud Network in IoT-Based Hydroponic Systems

The use of Internet of Things (IoT) systems in hydroponic agriculture aims to enhance the efficiency and effectiveness of controlling plant growth parameters in real-time and automatically. However, current IoT based hydroponic systems heavily depend on internet networks for transmitting data. This reliance becomes problematic when the internet connection is unstable or interrupted, causing monitoring data only to reach edge devices and not the cloud, leading to potential data desynchronization. This study focused on developing a robust data synchronization system between edge devices and cloud computing platforms to address this challenge. The primary goal was to collect the latest data at the edge. Where sensors and local control systems operate is consistently mirrored in the cloud without any loss. The research findings demonstrate that the synchronization system effectively achieves this objective over an 8-day testing period. However, practical constraints, such as the TTGO T-Call ESP32 SIM800L device's transmission limit of 861 data points per operation, were observed. Despite this limitation, the system-maintained reliability, with an average transmission delay of 3 minutes considered acceptable within operational tolerances, ensuring uninterrupted system functionality. This synchronization capability is crucial for hydroponic agriculture, enabling seamless monitoring and control of environmental parameters critical for plant growth. By ensuring data integrity across both edge and cloud systems, growers can make informed decisions promptly, optimize resource utilization, and ultimately improve crop yields in IoT enabled hydroponic setups.