Evaluating the use of machine learning algorithms in environmental sensing for energy saving

Abstract

Coastal lagoons are complex ecosystems characterized by the interaction of several actors, that can have a significant impact on them. The SMARTLAGOON project has the primary aim of integrating novel artificial intelligence-based technologies with an efficient Internet of Things (IoT) sensing infrastructure in the Mar Menor coastal lagoon. This paper presents an approach to predict some variables (chlorophyll and turbidity) usually sensed by the smart bouy in future instants of time. Results show that machine learning algorithms can accurately predict them.