Aquaponics is a promising sustainable farming method that combines aquaculture and hydroponics. The type of crop directly determines, for example, the spacing between plants and between channels, which is essential in determining the footprint required and estimating the productivity of the system.
This paper proposes a knowledge modeling approach to support the design of aquaponics systems by automatically determining the required characteristics of the aquaponics system based on crop selection. Knowledge modeling is presented as an ontology model that formally describes the links between the characteristics of the aquaponics culture bed and its design parameters.
This study gives practitioners the ability to visualize the impact of desired crop selection on the design of the aquaponics system, as well as to support clearer decision-making regarding the layout of production facilities and the design of the system in aquaponics. aquaponic farms.
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Abbasi, Rabiya & Martinez, Pablo & Ahmad, Dr Rafiq. (2021). An ontology model to support the automated design of aquaponics culture beds. Procedia CIRP. 100. 55-60. 10.1016 / j.procir.2021.05.009.