Designing An IoT Cloud Solution for Aquaculture

Acar, Ugur; Kane, Frank; Vlacheas, Panagiotis; Foteinos, Vassilis; Demestichas, Panagiotis; Yuceturk, Guven; Drigkopoulou, Ioanna; Vargun, Aycan

doi:10.1109/giots.2019.8766428

Cited by 19 publications

(8 citation statements)

References 8 publications

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“…Aquaculture is a rapidly expanding food sector that produces not only fish but also aquatic plants, animals in fresh or saltwater. A use case for the intelligent management framework (IMPAQT) was introduced for integrated multi‐trophic aquaculture (IMA) 36 that includes sensors such as behavioural control, disease detection, intelligent feeding and feed waste management solutions. For measuring and tracking, the water factors in the fishpond a methodology were introduced for real‐time identification and supervising systems based on IoT technology 23 .…”

Section: Findings and Discussionmentioning

confidence: 99%

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: Findings and Discussionmentioning

confidence: 99%

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

Prapti

Shariff

Man

et al. 2021

Reviews in Aquaculture

View full text Add to dashboard Cite

show abstract

“…IoT is also being used to improve the sustenance of food production in aquaculture. Aquaculture is an agricultural activity where farmers focus on producing fish, water plants, and diverse oceanic organisms [19]. Devices can be used to monitor the water, oxygen and nutrients levels and transmit this data through the Internet.…”

Section: Literature Reviewmentioning

confidence: 99%

The Adoption of the Internet of Things for SMART Agriculture in Zimbabwe

Zengeya¹,

Sambo²,

Mabika³

2021

Machine Learning, IOT and Blockchain Technologies &Amp; Trends

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Zimbabwe has faced severe droughts, resulting in low agricultural outputs. This has threatened food and nutrition security in community sections, especially in areas with low annual rainfall. There is a growing need to maximize water usage, monitor the environment and nutrients, and temperatures by the adaptation of smart agriculture. This research explored the use of the Internet of Things (IoT) for smart agriculture in Zimbabwe to improve food production. The mixed methodology was used to gather data through interviews from 50 purposively sampled A2 farmers in the five agricultural regions of Zimbabwe and was supported by the use of the Internet. The findings reveal that some farmers have adopted IoT in Zimbabwe, others are still to adopt such technology and some are not aware of the technology. IoT’s benefits to Zimbabwean farmers are immense in that it improves food security, water preservation, and farm management. However, for most farmers to benefit from IoT, more awareness campaigns should be carried out and mobile and fixed Internet connectivity improved in some of the areas.

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“…Although previous research has contributed to the development of monitoring systems in the fisheries and agriculture sectors [40], [45]- [51], there is still a need for further development, particularly the implementation of IoT in shrimp pond with soil construction. The soil-constructed land poses challenges, especially in hot or rainy weather, which can impact the resilience of the electronic components used, and the pond water conditions can change drastically based on the surrounding environment [52].…”

Section: Introductionmentioning

confidence: 99%

IoAT: Internet of Aquaculture Things for Monitoring Water Temperature in Tiger Shrimp Ponds with DS18B20 Sensors and WeMos D1 R2

Satra,

Hadi,

Sujito

et al. 2024

Journal of Robotics and Control

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Cultivation of tiger prawns stands as a crucial sector in Indonesia's fisheries industry, significantly contributing to the country's foreign exchange. However, challenges persist in the cultivation process, particularly concerning suboptimal harvest outcomes. A critical factor in tiger prawn cultivation is the water temperature within shrimp ponds, a parameter directly influencing shrimp growth. The recommended normal temperature range is 28-31°C. Deviations from this range can adversely impact the shrimp's metabolic system and appetite, resulting in stress and potential mortality. Temperature fluctuations can lead to severe issues such as hindered growth, reduced productivity, and increased shrimp mortality. Real-time monitoring of air temperature emerges as a pivotal element in ensuring the success of shrimp farming. This research aims to provide a practical solution for shrimp cultivation by presenting a system that enables farmers to adjust air temperature in ponds in real-time through a user-friendly website application. The ability to promptly respond to abnormal temperature fluctuations empowers farmers to optimize cultivation conditions, thereby reducing shrimp mortality rates. The research focuses on creating a water temperature monitoring system for tiger prawn ponds using cloud storage through the Firebase platform. By implementing real-time temperature monitoring, financial risks for shrimp farmers can be mitigated, preventing losses attributed to temperature-induced shrimp mortality. The research utilizes the DS18B20 temperature sensor and WeMos D1 R2 as the control center. The website displays air temperature measurements, showcasing a high accuracy of 99% with a minimal error of 1.2%. This underscores the system's effectiveness in measuring air temperature both above and below the pond. The incorporation of IoT technology for monitoring water quality in ponds offers a practical and innovative approach to tiger prawn cultivation, with the potential to enhance production outcomes in each harvest.

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Designing An IoT Cloud Solution for Aquaculture

Cited by 19 publications

References 8 publications

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

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

The Adoption of the Internet of Things for SMART Agriculture in Zimbabwe

IoAT: Internet of Aquaculture Things for Monitoring Water Temperature in Tiger Shrimp Ponds with DS18B20 Sensors and WeMos D1 R2

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