Internet of Things (IOT)-Based Mobile Application for Monitoring of Automated Aquaponics System

Valiente, Flordeliza L.; Garcia, Ramon G.; Domingo, Ellaine Joy A.; Estante, Scott Martin T.; Ochaves, Erika Joanna L.; Villanueva, Julian Clement C.; Balbin, Jessie R.

doi:10.1109/hnicem.2018.8666439

Cited by 32 publications

(13 citation statements)

References 3 publications

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“…Aquaponics is a combination of aquaculture and hydroponic cultivation systems that can be a solution to overcome land limitations, limited water resources and increase food security [7]. In normal aquaculture, excretions from reared aquatic animals will accumulate in the water and increase the toxicity of the water if the water is not removed.…”

Section: A Aquaponic System Definitionmentioning

confidence: 99%

Design and Construction Pond Temperature Control System and Automatic Nile Tilapia Fish Feeder for Aquaponics

Aisyah¹

2022

IJOE

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Expansion of land for the development of human civilization reduces natural ecosystems. Especially land for agriculture and fisheries in densely populated areas. The more the population, the more food needs. One way to deal with this problem is aquaponic cultivation. Aquaponics is a modern practical farming system that integrates plant cultivation systems with aquatic animal cultivation. In aquaponics cultivation there are factors that need to be considered. One of these success factors is the Temperature and Automatic Feeder in the pond. To get the temperature needed by the fish, temperature control is carried out using the DS18B20 sensor. When the fish pond temperature drops below 28°C, the heater will automatically turn on to raise the pond temperature, and when the pond temperature rises above 32°C, the peltier will turn on and start lowering the pond temperature. Feeding is one of the success factors for aquaponics. If the feed given does not match the weight and age of the fish, the growth of the fish can be disrupted, causing the fish to die. Automatic feeding uses the RTC module as the set time and the servo motor as the opening valve for the fish feed container. Fish were fed at 08.00, 12.00, and 17.00. The average error obtained after validating the DS18B20 sensor is 0.61. The accuracy obtained is 98.05%. The ratio of fish RGR before and after the control system was installed was 7.14% and 11.2 The fish FCR values before and after the control system was installed were 12.50% and 21.07%. The plant growth rates before and after the control system was installed were 22.9% and 33.71%.

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Section: A Aquaponic System Definitionmentioning

confidence: 99%

Design and Construction Pond Temperature Control System and Automatic Nile Tilapia Fish Feeder for Aquaponics

Aisyah¹

2022

IJOE

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“…A mobile application to monitor temperature and humidity is described in [51], on the basis of sensor readings a fan, water pump and mist maker are remotely activated/controlled. Other similar systems use Intel Edison or Ardino microprocessors [52].…”

Section: B Enhanced Aquaponic Systemmentioning

confidence: 99%

A Decision Support System for Urban Agriculture Using Digital Twin: A Case Study With Aquaponics

et al. 2021

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There are many pressures on the global food system such as urbanization, climate change, and environmental degradation. Urban agriculture is an approach to producing food inside cities where, globally, more than half the worlds population live. It has been shown to have a range of potential benefits, for instance in reducing waste and logistics costs. Increased uptake of urban farming can even relieve pressure on the natural environment by reducing the burden of production required from farmland by creating space for it to recover from accumulated damage as a result of the use of unsustainable farming practices historically. This article describes an approach for a new type of decision support system suitable for urban farming production. We discuss differences between the requirements and the users of decision support in urban agriculture, and those of ordinary agribusiness enterprises. A case study is performed using a novel technology for urban farming: a cyber-physical implementation of aquaponics is enhanced with adaptive capabilities using a digital twin system and machine learning. Aquaponics is a farming technique that utilizes a harmonious nutrient exchange cycle for growing plants and fish together, while conserving water, and possibly without the need for soil or even sunlight. Empirical results are provided that evaluate the use of data driven decision analytics and a digital twin model to plan production from the aquaponic system during a three month trial. Another set of results evaluate a proposed modelling framework for large scale urban agriculture ecosystems. This concept forms the basis of the suggested approach for an urban farming decision support system that coordinates the activities of many independent producers to target collective goals.INDEX TERMS Decision support, urban agriculture, modelling, simulation, digital twin, Internet of Things, metaheuristics.

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“…Manju et al [179] used wireless sensor devices to identify and monitor various water quality parameters in the aquaponics system and used the Internet of Things to achieve remote access. Valiente et al [180] established an automated aquaponics system (using Nile Tilapia and Romaine Lettuce) through the Internet of Things technology to monitor and control the acidity, basicity, temperature, illumination, water refilling and baiting in the system, which saved time and increased the growth speed of fishes and plants.…”

Section: B Monitoring and Control Of Water Qualitymentioning

confidence: 99%

Equipment and Intelligent Control System in Aquaponics: A Review

Wei

et al. 2019

IEEE Access

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Traditional planting and aquaculture has the problem of large consumption of water resources and land resources, and the water environmental pollution is also a difficult problem facing human beings. Population growth and food safety issues have promoted the concept of aquaponics-a recycling ecological planting and breeding mode. It combines hydroponics and recirculating aquaculture technology to realize water resources and nutrient recycling, low pollution and high productivity and efficiency. In this paper, hydroponics as the main vegetable cultivation method in aquaponics and the main equipment of water treatment in recirculating aquaculture are introduced, and the traditional equipment and its development prospects are analyzed. The greenhouse environments, water quality and nutrient circulation involved in intelligent monitoring and control of aquaponic systems are systematically analyzed and summarized. This paper summarizes the current development of technology and methods in aquaponics and provides prospects for future development trends. With the development of technology, in the future, the aquaponics system will become more intelligent, intensive, accurate and efficient. INDEX TERMS Aquaponics, efficient utilization of water, intelligent controlling, nutrient cycle, precision monitoring.

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Internet of Things (IOT)-Based Mobile Application for Monitoring of Automated Aquaponics System

Cited by 32 publications

References 3 publications

Design and Construction Pond Temperature Control System and Automatic Nile Tilapia Fish Feeder for Aquaponics

Design and Construction Pond Temperature Control System and Automatic Nile Tilapia Fish Feeder for Aquaponics

A Decision Support System for Urban Agriculture Using Digital Twin: A Case Study With Aquaponics

Equipment and Intelligent Control System in Aquaponics: A Review

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