2007 Frontiers in the Convergence of Bioscience and Information Technologies 2007
DOI: 10.1109/fbit.2007.77
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Design of Environment Monitoring System for Aquaculture Farms

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Cited by 17 publications
(11 citation statements)
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“…However, these models require a huge initial investment cost(minimum of three hundred thousand USD to one hectare) and are only suitable for large scale farming businesses. Soonhee Han et al has designed and built an environmental monitoring system for aquaculture farms [3,4,5,6]. However, this system is based on a wired network, so the transmission is not only problematic, but it is also difficult to expand.…”
Section: Introductionmentioning
confidence: 99%
“…However, these models require a huge initial investment cost(minimum of three hundred thousand USD to one hectare) and are only suitable for large scale farming businesses. Soonhee Han et al has designed and built an environmental monitoring system for aquaculture farms [3,4,5,6]. However, this system is based on a wired network, so the transmission is not only problematic, but it is also difficult to expand.…”
Section: Introductionmentioning
confidence: 99%
“…The availability of dissolved oxygen, which is in general the most critical parameter in terms of response time makes the monitoring procedure a task that optimally should be performed continuously. A real time monitoring system for some critical parameters can even lead to improvements in productivity and quality and could even add value to the final product, by certifying the production process history [3].…”
Section: Introductionmentioning
confidence: 99%
“…The advantage of solar energy over other forms of environmental energy is that the available solar energy can be predicted [23] allowing to plan and optimize the future sensing activity, in order to achieve a more sustainable operation. Many wireless systems have been applied successfully using solar energy in aquaculture [24] [25]. Buoy or bottom-anchored systems powered by solar energy provide long-term monitoring of water quality using integrated with multi-parameter water quality sensors [26].…”
Section: Introductionmentioning
confidence: 99%