Energy efficient Agrovoltaic monitoring system using IoT-based Wireless Sensor Network

In contemporary society, the ongoing requirement for food and power generation has found a partial solution in Agrovoltaics. This approach combines eco-friendly power production through the integration of solar panels on agricultural land. However, challenges emerge in the absence of a coordinated monitoring system to produce quality food and power. The proposed model focuses on energy-efficient data aggregation and classification for monitoring agrovoltaics using real-time data. The agrovoltaic monitoring system is an IoT-based heterogeneous wireless sensor network(WSN) operating on a battery. Thus, optimizing energy efficiency becomes crucial, which the proposed model achieves by eliminating redundancy in data aggregation using cosine similarity. The collected data is classified to monitor both the crop's health and the solar panel's condition using a hybrid model combining GRU and Adaboosting, referred to as Energy-efficient Agrovoltaic monitoring(EeAVM) model. The proposed model EeAVM improves the energy efficiency of the network by 30% and accuracy by 1.2% compared to alternative models.