An Autonomous Aquaponics System Using 6LoWPAN Based WSN

Kumar, N. Hari; Baskaran, Sandhya; Hariraj, Sanjana; Krishnan, V Jeya

doi:10.1109/w-ficloud.2016.37

Cited by 25 publications

(20 citation statements)

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“…An end-to-end IoT framework for aquaponics was developed by a group of researchers in a global context using the open WSN standard LoWPAN to build an autonomous, self-regulating device using Wireless Sensor Networks (WSN). 33 This technology needs less human involvement than conventional aquaponics methods without compromising the crop yield, nutrition in produced food. The research found that a wireless network for an aquaculture water environment monitoring system enhances real-time aquaculture monitoring, improve the fish breeding atmosphere and increase production income by reducing labour intensity.…”

Section: Recent Iot-based Aquaculture Researchmentioning

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: Recent Iot-based Aquaculture Researchmentioning

confidence: 99%

“…IoT-based aquaculture 30 Web-server-embedded and mobile telecommunication technology 3). Smart sensor and sensor nodes are good for gaseous parameters as well as water level detection 32,33,37 using wireless sensor networks with single-chip computer technology and cloud computing technology 31,32 (Figure 3).…”

Section: Communication Protocol Sensormentioning

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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“…Kumar et al used 6LoWPAN as a wireless sensor interface to test nitrogen content, pH value, and temperature and built a self-regulating system able to collect messages about water quality and store them in a cloud database. They also implemented "connected aquaponics" involving a WSN and Next-Gen Telco to increase crop yield and provide sustainable organic food for international communities [30].…”

Section: Automated Environmental Control For Fish-vegetable Coexistencementioning

confidence: 99%

Building a Fish–Vegetable Coexistence System Based on a Wireless Sensor Network

Hsiao

Sung

2020

IEEE Access

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The foremost purpose of this study is to use wireless sensor network (WSN) technology to build an intelligent fish-vegetable coexistence system. As a traditional fish-vegetable coexistence system lacks intelligent diagnoses, personnel and the original materials are difficult to control, and efficiency is low. We expect to remotely monitor the environmental values of the fishvegetable coexistence system at any time through Internet of Things technology and to control the feeding time and the brightness of LED lamps. The key concept of this system is to "let the fishes be farmers", meaning that when the system is balanced, the nutrient supply and water purification can form a good circulation system as long as fish feed is provided and the evaporated moisture is supplemented in a timely manner. The main control board of the system is an Arduino Mega 2560, and the ZigBee communication protocol is used as a wireless transmission tool, which is combined with a temperature humidity sensor and an illuminance sensor. Thus, the performance of the traditional temperature humidity sensor is improved, and the fish yield is increased. Real-time monitoring can minimize the loss of fish. This expert system increases the success rate of culturing and planting, and the overall system efficiency is increased. Our team creates a human-computer interaction interface using the C# programming language. This interface can be used to monitor the current sensing values and store the data in an Excel data sheet, thus allowing users to query and analyze previously detected data. Users can monitor the system operation status and control the load through the designed human-machine interface to achieve smart network remote monitoring.

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“…• Temperature Analysis Figure 10 shows that the temperature analysis taken in time. The standard temperature for an aquaponics system is between 21 °C to 29°C [24,25]. This value is analyzed as a suitable temperature for both plants and fish.…”

Section: Fig 9 -Goat Stall System Circuitmentioning

confidence: 99%

IoT Smart Agriculture for Aquaponics and Maintaining Goat Stall System

Effendi

Kassim

Sulaiman

et al. 2020

IJIE

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This research presents project development on smart farm and agriculture. The surge in global population is compelling a shift towards smart farm and agriculture practices. This coupled with the diminishing natural resources increase in unpredictable weather conditions makes food security a major concern for most countries. As a result, the use of the internet of things (IoT) and data analytics (DA) are employed to enhance the operational efficiency and productivity in the farm and agriculture sector. The objective is to design a prototype that used the internet of things on the farm and agriculture. Next is to have a monitoring and controlling or automation system that will benefit the farmer. Then collect all the data to be analyses on the rainfall, temperature, humidity, and light intensity. The methodology comprised of hardware, software, programming, sensors such as water sensor, light depending resistor sensor, temperature, and humidity sensor, and weight sensor for collected data. The result presents a prototype on aquaponics and goat stall that implement the concepts of the internet of things for monitoring, controlling, or automation system while data analytics is presented from all the sensors. Analytic data on the temperature, light intensity, humidity, and rainfall rate are analyzed. Surrounding temperatures are important for both plants and fish because if it too hot, they can die easily. The optimum light is needed by the plant for their photosynthesis process. Thus, by monitoring and collecting these parameters, data can be used for analyzing purposes. This project can benefit the agriculture and farm sectors in a larger or small scale.

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An Autonomous Aquaponics System Using 6LoWPAN Based WSN

Cited by 25 publications

References 0 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

Building a Fish–Vegetable Coexistence System Based on a Wireless Sensor Network

IoT Smart Agriculture for Aquaponics and Maintaining Goat Stall System

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