Next Article in Journal
Establishing a Risk Assessment Framework for Marine Assets and Assessing Typhoon Lekima Storm Surge for the Laizhou Bay Coastal Area of the Bohai Sea, China
Next Article in Special Issue
Characteristics and Trends of Ocean Remote Sensing Research from 1990 to 2020: A Bibliometric Network Analysis and Its Implications
Previous Article in Journal
Numerical Simulation Study of a Swirling Drill Bit Used for Ice Core Drilling
Previous Article in Special Issue
Broadband Characteristics of Zooplankton Sound Scattering Layer in the Kuroshio–Oyashio Confluence Region of the Northwest Pacific Ocean in Summer of 2019
Review

Management and Sustainable Exploitation of Marine Environments through Smart Monitoring and Automation

1
Stazione Zoologica Anton Dohrn, Department of Ecosustainable Marine Biotechnology, Villa Comunale, 80121 Naples, Italy
2
Department of Biology, University of Naples Federico II, Complesso Universitario di Monte Sant’Angelo, Via Cinthia 21, 80126 Naples, Italy
3
Sensichips Srl., Via Fanciulla d’Anzio 9, 00042 Anzio, Italy
4
DIEI—Dipartimento di Ingegneria Elettrica e dell’Informazione, Università di Cassino e del Lazio Meridionale, Via G. Di Biasio 43, 03043 Cassino, Italy
5
Dipartimento di Ingegneria dell’Informazione, Università di Pisa, Via Caruso 16, 56122 Pisa, Italy
*
Authors to whom correspondence should be addressed.
Academic Editors: Gabriella Caruso, Francesco Tiralongo and Yannis N. Krestenitis
J. Mar. Sci. Eng. 2022, 10(2), 297; https://doi.org/10.3390/jmse10020297
Received: 30 October 2021 / Revised: 28 January 2022 / Accepted: 10 February 2022 / Published: 21 February 2022
(This article belongs to the Special Issue Marine Environment Monitoring)
Monitoring of aquatic ecosystems has been historically accomplished by intensive campaigns of direct measurements (by probes and other boat instruments) and indirect extensive methods such as aero-photogrammetry and satellite detection. These measurements characterized the research in the last century, with significant but limited improvements within those technological boundaries. The newest advances in the field of smart devices and increased networking capabilities provided by emerging tools, such as the Internet of Things (IoT), offer increasing opportunities to provide accurate and precise measurements over larger areas. These perspectives also correspond to an increasing need to promptly respond to frequent catastrophic impacts produced by drilling stations and intense transportation activities of dangerous materials over ocean routes. The shape of coastal ecosystems continuously varies due to increasing anthropic activities and climatic changes, aside from touristic activities, industrial impacts, and conservation practices. Smart buoy networks (SBNs), autonomous underwater vehicles (AUVs), and multi-sensor microsystems (MSMs) such as smart cable water (SCW) are able to learn specific patterns of ecological conditions, along with electronic “noses”, permitting them to set innovative low-cost monitoring stations reacting in real time to the signals of marine environments by autonomously adapting their monitoring programs and eventually sending alarm messages to prompt human intervention. These opportunities, according to multimodal scenarios, are dramatically changing both the coastal monitoring operations and the investigations over large oceanic areas by yielding huge amounts of information and partially computing them in order to provide intelligent responses. However, the major effects of these tools on the management of marine environments are still to be realized, and they are likely to become evident in the next decade. In this review, we examined from an ecological perspective the most striking innovations applied by various research groups around the world and analyzed their advantages and limits to depict scenarios of monitoring activities made possible for the next decade. View Full-Text
Keywords: IoT; buoy; aquaculture; coastal; connectivity; transmission; real time; network IoT; buoy; aquaculture; coastal; connectivity; transmission; real time; network
Show Figures

Figure 1

MDPI and ACS Style

Glaviano, F.; Esposito, R.; Cosmo, A.D.; Esposito, F.; Gerevini, L.; Ria, A.; Molinara, M.; Bruschi, P.; Costantini, M.; Zupo, V. Management and Sustainable Exploitation of Marine Environments through Smart Monitoring and Automation. J. Mar. Sci. Eng. 2022, 10, 297. https://doi.org/10.3390/jmse10020297

AMA Style

Glaviano F, Esposito R, Cosmo AD, Esposito F, Gerevini L, Ria A, Molinara M, Bruschi P, Costantini M, Zupo V. Management and Sustainable Exploitation of Marine Environments through Smart Monitoring and Automation. Journal of Marine Science and Engineering. 2022; 10(2):297. https://doi.org/10.3390/jmse10020297

Chicago/Turabian Style

Glaviano, Francesca, Roberta Esposito, Anna D. Cosmo, Francesco Esposito, Luca Gerevini, Andrea Ria, Mario Molinara, Paolo Bruschi, Maria Costantini, and Valerio Zupo. 2022. "Management and Sustainable Exploitation of Marine Environments through Smart Monitoring and Automation" Journal of Marine Science and Engineering 10, no. 2: 297. https://doi.org/10.3390/jmse10020297

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop