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Prototype of an Aquacultural Information System Based on Internet of Things E-Nose



Aquaculture is the fastest growing food-producing sector in the World, especially, in P. R. China. In the ongoing process of Internet growth, a new development is on its way, namely the evolution from a network of interconnected computers to a network of interconnected objects that is called the Internet of Things (IoT). Constructing an affordable, easy-to-use, aquaculture information system based on IoT is the future trend for modern aquaculture. The prototype IoT of aquaculture information system is developed with following functions: (1) Sense in real time the water quality in aquaculture ponds and send water quality data in time to remote IoT Platform with wireless sensor network and mobile internet; (2) Forecast the change trend of water quality based real-time data and operating suggestion will be created for special aquaculture application automatically; (3) Real-time and efficient exchange with special users and common users with WEB, WAP and SMS; (4) Some control devices may be operated automatically with authorization. Five control nodes, twelve water quality sensor nodes and a wireless weather sensor node are deployed in seven aquaculture ponds belongs to five farmers, in Yixing Peng-yao eco-agricultural demonstration farm located in Wuxi, Jiangsu province, P. R. China. Each farmer may access web pages of aquaculture service platform to monitor the variation of water quality of their ponds, and control their own aerators via internet or cell phone. At the same time, real time water quality and weather information will be sent to related farmers as the public service. The real time monitoring water quality and weather data are reliable, aquaculture information service has been accepted by farmers and local government, which revealed that the prototype IoT of aquaculture information system is meaningful.



Total Pages: 11
Pages: 569-579


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Volume: 18
Issue: 5
Year: 2012

Cite this document


L. Atzori, A Iera, G. Morabito. Computer Networks (In Press).

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ISSN PRINT: 1079-8587
ISSN ONLINE: 2326-005X
DOI PREFIX: 10.31209
10.1080/10798587 with T&F
IMPACT FACTOR: 0.652 (2017/2018)

SJR: "The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric."

Journal: 1995-Present


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