An overview of water quality monitoring in IoT based aquaculture.

Prapti, Dipika Roy; Shariff, Abdul Rashid Bin Mohamed; Man, Hasfalina Che; Ramli, Norulhuda Mohamed; Perumal, Thinagaran; Din, Mohamed Shariff Mohamed

doi:10.13031/aim.202100189

Cited by 2 publications

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“…Abnormal water quality is a major issue in the aquaculture system, and consequently, fish loses their natural defence against bacterial, viral, fungal and parasitic infections 3 . Nowadays, water management in aquaculture farm has become a crucial part of global environment conservation as climate change is affecting the water parameters adversely 4,5 …”

Section: Introductionmentioning

confidence: 99%

“…3 Nowadays, water management in aquaculture farm has become a crucial part of global environment conservation as climate change is affecting the water parameters adversely. 4,5 The farming stakeholders need a smart solution to achieve food security in aquaculture production by battling global heating which is affecting water and fish quality. 6 Monitoring the water parameters in a water reservoir to identify any deviation in the quality of water is among the smart aquaculture solutions.…”

Section: Introductionmentioning

confidence: 99%

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Internet of Things (IoT)‐based aquaculture: An overview of IoT application on water quality monitoring

Prapti

Shariff

Man

et al. 2021

Reviews in Aquaculture

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Aquaculture based on the Internet of Things (IoT) is a growing field of interest in the fishing industry. The IoT technology is advancing the agriculture 4.0 era, and yet, Aquaculture 4.0 is a lagging field in many countries. This article presents results obtained so far from ongoing research of published work highlighting water quality monitoring in fishponds. This analysis was performed extensively from May to December 2020 by meticulously selecting a total of 30 internationally published research papers. This review is divided into five categories: (1) recent research (2011–2020), (2) aquaculture environments, (3) research approaches, (4) most common water quality parameters and (5) forms of the solution provided. Most of the published research concentrated on inland aquaculture (81%), while research articles on marine aquaculture species accounted for 19% of papers reviewed so far. The framework and architecture approach (48%) was the most widely practised research approach in IoT‐based aquaculture for water quality monitoring. There is a need for long‐term experimental research to identify the challenges and suggest appropriate solutions. With regards to water quality parameters, temperature (20%), dissolved oxygen (18%) and pH (17%) are the topmost prioritised water quality parameters considered in the IoT‐based aquaculture. Finally, real‐time monitoring (50%) is offered generally as a form of a solution while autonomous (3%) monitoring can be a unique solution. The findings from this study are expected to support the aquaculture industry, researchers, practitioners and decision‐makers in the long run.

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Section: Introductionmentioning

confidence: 99%