Controlling and regulation of integrated aquaponic production systems – An approach for a management execution system (MES)

Witzel, Olaf; Wilm, Stefan; Karimanzira, Divas; Baganz, Daniela

doi:10.1016/j.inpa.2019.03.007

Cited by 11 publications

(4 citation statements)

References 7 publications

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“…Since AP falls under the classification of CEA, automation plays a crucial role on operating such systems reliably. A recent study [65] aimed on including an innovative and sustainable AP system solution, a modular solution for an adaptable and a scalable local condition, and an optimal way of reusing water resources, and Supervisory Control and Data Acquisition (SCADA) and Manufacturing execution systems (MESs) were the techniques that operated the configuration. Through these, the collection of software and hardware components enabled the management to automate fish and crop production.…”

Section: Intelligent Controller and Automation Applications For Urban...mentioning

confidence: 99%

Automation and Control for Adaptive Management System of Urban Agriculture Using Computational Intelligence

Dadios¹,

Vicerra²,

Lauguico³

et al. 2022

Automation and Control - Theories and Applications

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It has been predicted by the United Nations that the world population will increase to 9.8 billion in 2050. This causes agricultural development areas to be transformed into urban areas. This urbanization and increase in population density cause food insecurity. Urban agriculture using precision farming becomes a feasible solution to meet the growing demand for food and space. An adaptive management system (AMS) is necessary for such farm to provide an artificial environment suitable to produce cultivars effectively. This research proposes the development of a computational intelligence-based urban farm automation and control system utilizing machine learning and fuzzy logic system models. A quality assessment is employed for adjusting the environmental parameters with respect to the cultivars’ requirements. The system is composed of sensors for data acquisition and actuators for model-dictated responses to stimuli. Data logging was done wirelessly through a router that would collect and monitor data through a cloud-based dashboard. The model intended for training from the acquired data undergo statistical comparative analysis and least computational cost analysis to optimize the performance. The system performance was evaluated by monitoring the conditions of the sensors and actuators. Experiment results showed that the proposed system is accurate, robust, and reliable.

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Section: Intelligent Controller and Automation Applications For Urban...mentioning

confidence: 99%

Automation and Control for Adaptive Management System of Urban Agriculture Using Computational Intelligence

Dadios¹,

Vicerra²,

Lauguico³

et al. 2022

Automation and Control - Theories and Applications

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show abstract

“…Colonies of bacteria living in the soil and the root system of plants in a closed cycle of aquaculture purify water from toxic substances, and plants consume salts, gases and chemical elements dissolved in water -nitrates, nitrogen -N, phosphorus -P, carbon dioxide -CO2 and, to a certain extent, enrich oxygen into water, which is also returned to animals in the form of soda. Thus, this system simulates the natural circulation of substances in nature, where cultivated plants act as producers, aquatic animals, as consumers -consults, and bacteriaas reducers [9][10][11].…”

Section: Fig 1 Aquaponics Cyclementioning

confidence: 99%

Performance improvement of aquaponics systems when using microbiological strains in them

Krotova

Chelbin²,

Krotova

et al. 2022

BIO Web Conf.

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The essence of the method of operation of the aquaponic system is to use the vital waste of aquatic animals as food for plants. At the first stage, the fish produces waste products. Then, in the second stage, microbes and worms convert the waste into fertilizers for plants. During the process, at the third stage, plants consume the necessary products of excretion of living organisms. Aquaponics is an artificial ecosystem in which three types of living organisms are key: aquatic animals (usually fish or shrimp), plants and bacteria. This technology works on the principle of an ecosystem of fish and plants: fish provides food to plants, and plants purify water and are environmentally friendly. The essence of this method is to use the vital waste of aquatic animals (fish, shrimp) as a nutrient medium for plants. These are chemicals such as nitrogenous, potassium, phosphorus compounds, carbon dioxide. Thanks to aquaponic farms, the costs of water and other natural resources, soil pollution and the use of insecticides are already being reduced in different places of our planet. Such systems are a sustainable ecosystem capable of producing organic matter that does not contain toxic substances often present in vegetables grown by traditional methods.

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“…Their goals are to monitor and manage complex production chains. Witzel et al (2019) integrated the modeling works developed for the INAPRO aquaponic system (Karimanzira et al, 2016;Lastiri et al, 2016;Karimanzira et al, 2017) into a MES dedicated to the specific research system. Their MES supports and advices the aquaponic managers through a graphical interface which also provides simulated outputs and economic indicators.…”

Section: Management Researchmentioning

confidence: 99%

Modeling aquaponics: a review on available models and simulation tools

Stalport¹,

Raulier²,

Jijakli³

et al. 2022

Biotechnol. Agron. Soc. Environ.

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Introduction. Aquaponics is quickly expanding. Specific models and modeling tools have been developed within different studies. However, no study has yet attempted nor succeeded in bringing the aquaponic community around a common modeling project to centralize knowledge and develop an effective tool for users and professional growers. Literature. This paper reviews the relevant literature to provide an overview of the available simulation models and associated modeling tools. Furthermore, it identifies the current needs to lead further modeling developments. Conclusions. Several powerful models and modeling tools have been developed but are highly specific to their research scope and are often inaccessible. The modeling knowledge specific to aquaponics is at an advanced stage but is scattered among many different works. Therefore, it is evident that a shared and accessible modeling tool, which is currently missing, would greatly accelerate the development of aquaponics.

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Controlling and regulation of integrated aquaponic production systems – An approach for a management execution system (MES)

Cited by 11 publications

References 7 publications

Automation and Control for Adaptive Management System of Urban Agriculture Using Computational Intelligence

Automation and Control for Adaptive Management System of Urban Agriculture Using Computational Intelligence

Performance improvement of aquaponics systems when using microbiological strains in them

Modeling aquaponics: a review on available models and simulation tools

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