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.

Delnevo G., Tumedei G., Ghini V., Prandi C. (2023). Evaluating the use of machine learning algorithms in environmental sensing for energy saving. Association for Computing Machinery, Inc [10.1145/3615991.3616402].

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

Delnevo G.;Tumedei G.;Ghini V.;Prandi C.
2023

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.
2023
NETus 2023 - Proceedings of the 2023 Workshop on Networked Sensing Systems for a Sustainable Society
201
206
Delnevo G., Tumedei G., Ghini V., Prandi C. (2023). Evaluating the use of machine learning algorithms in environmental sensing for energy saving. Association for Computing Machinery, Inc [10.1145/3615991.3616402].
Delnevo G.; Tumedei G.; Ghini V.; Prandi C.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/955047
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