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Seafood Aquaculture Management Platform Based on LoRa Mesh Self-organized Network

Zhongyang Shi, Huijuan Huang, Weixiong Hong

Abstract


This paper is based on the seafood aquaculture management platform in the mode of “platform+base+farmer” to achieve commercialised and technological seafood aquaculture management. Through the intelligent machine operation on the Internet, the data collected by various sensors are aggregated on the cloud platform through LoRa Mesh self-organising network and NB-IoT 5G transmission, and the light, temperature, PH value, salinity, dissolved oxygen and so on in the seafood farm are monitored online in real time. Once the “evil conditions” unfavourable to the growth of seafood appear, through the cloud platform analysis and processing, it will immediately provide real-time feedback of early warning information and solutions to the farmers through WeChat, SMS and other means, so that the farmers can find problems in time to solve them. Remote control can also be achieved through the timing and quantity of intelligent feeding, and then the scientific breeding of seafood, effectively increase the yield of seafood, improve the quality of seafood, thereby improving the economic income of farmers.

Keywords


Smart agriculture; Seafood farming; LoRa Mesh; Cloud platforms

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References


[1] Li B ,Xu Y ,Liu Y , et al.LoRaWAPS: A Wide-Area Positioning System Based on LoRa Mesh[J].Applied Sciences,2023,13(17):

[2] Shaughnessy K B ,Almada A ,Thompson K , et al.Are all benefits equal? An exploratory analysis of coastal perspectives of seafood farming expansion in the United States[J].Journal of the World Aquaculture Society,2023,54(4):899-914.

[3] Mor ang’a K A ,Muloi M D ,Kamau M S , et al.Mapping the fl ow of veterinary antibiotics in Kenya[J].Frontiers in Veterinary Science,2024,111304318-1304318.




DOI: http://dx.doi.org/10.18686/ahe.v8i4.13297

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