Article ; Online: Real-Time Environmental Monitoring for Aquaculture Using a LoRaWAN-Based IoT Sensor Network.
2021 Volume 21, Issue 23
Abstract: IoT-enabled devices are making it easier and cheaper than ever to capture in situ environmental data and deliver these data-in the form of graphical visualisations-to farmers in a matter of seconds. In this work we describe an aquaculture focused ... ...
| Abstract | IoT-enabled devices are making it easier and cheaper than ever to capture in situ environmental data and deliver these data-in the form of graphical visualisations-to farmers in a matter of seconds. In this work we describe an aquaculture focused environmental monitoring network consisting of LoRaWAN-enabled atmospheric and marine sensors attached to buoys on Clyde River, located on the South Coast of New South Wales, Australia. This sensor network provides oyster farmers operating on the river with the capacity to make informed, accurate and rapid decisions that enhance their ability to respond to adverse environmental events-typically flooding and heat waves. The system represents an end-to-end approach that involves deploying a sensor network, analysing the data, creating visualisations in collaboration with farmers and delivering them to them in real-time via a website known as FarmDecisionTECH®. We compared this network with previously available infrastructure, the results of which demonstrate that an in situ weather station was ∼5 ∘C hotter than the closest available real-time weather station (∼20 km away from Clyde River) during a summertime heat wave. Heat waves can result in oysters dying due to exposure if temperatures rise above 30 ∘C for extended periods of time (such as heat waves), which will mean a loss in income for the farmers; thus, this work stresses the need for accurate in situ monitoring to prevent the loss of oysters through informed farm management practices. Finally, an approach is proposed to present high-dimensional datasets captured from the sensor network to oyster farmers in a clear and informative manner. |
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| MeSH term(s) | Aquaculture ; Environmental Monitoring ; Farms ; Temperature ; Weather |
| Language | English |
| Publishing date | 2021-11-29 |
| Publishing country | Switzerland |
| Document type | Journal Article |
| ZDB-ID | 2052857-7 |
| ISSN | 1424-8220 ; 1424-8220 |
| ISSN (online) | 1424-8220 |
| ISSN | 1424-8220 |
| DOI | 10.3390/s21237963 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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