Development Smart Water Aquaponics Model

Gheorghe Adrian Zugravu (), Kamel Ibrahim Kamel (), Maria Magdalena TUREK Rahoveanu (), Marian Tiberiu Coada (), Stefan Mihai Petrea (), Alexandru Cristian Bandi (), Mirela Cretu () and Ira Adeline Chihaia ()
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Gheorghe Adrian Zugravu: Dunarea de Jos University of Galati, Galati, Romania
Kamel Ibrahim Kamel: Agriculture Research Center, Animal Production Research Institute
Maria Magdalena TUREK Rahoveanu: Dunarea de Jos University of Galati, Galati, Romania
Marian Tiberiu Coada: Dunarea de Jos University of Galati, Galati, Romania
Stefan Mihai Petrea: Dunarea de Jos University of Galati, Galati, Romania
Alexandru Cristian Bandi: Dunarea de Jos University of Galati, Galati, Romania
Mirela Cretu: Dunarea de Jos University of Galati, Galati, Romania
Ira Adeline Chihaia: Dunarea de Jos University of Galati, Galati, Romania

Proceedings RCE 2017, 2017, 456-464

Abstract: The present paper contributes to the modeling aquaculture. The paper main objectives are to identify an analysis smart water aquaponics. The purpose is to add more value to end aquaponics products. Aquaculture production depends on physical, chemical and biological qualities of pond water to a greater extent. The successful pond management requires an understanding of water quality. Intensification of pond makes the water quality undesirable with a number of water quality parameters. The objective of this model is to test and predicts plant and fish growth and net ammonium and nitrate concentrations in water in an aquaponic system. This is done by comparing the model outputs with measurements under controlled conditions in order to assess the accuracy of the tool to simulate nutrient concentrations in water and fish and plant biomass production of the system.

Keywords: aquaculture; aquaponics; integrated systems; business model; rural development. Title of Book: Risk in Contemporary Economy (search for similar items in EconPapers)
JEL-codes: A23 (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:lum:progal:v::y:2017:i::p:456-464

DOI: 10.18662/lumproc.rce2017.1.40

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