Simulating a Monitoring System for an Aquaponics Farm

Trym Sandbakk, Muhammad Usama and Reggie Davidrajuh (University of Stavanger, Norway)

Aquaculture (fish) and hydroponics (plants) are the two farming techniques used in aquaponics. Monitoring systems for aquaponics farming make sure the conditions for the plants and fish are optimal. This paper aims to model and simulate a monitoring system for an aquaponics farm. This paper uses Petri nets for modeling and the GPenSIM tool to implement the model for the simulation of the monitoring system. The simulations reveal parameters' values to be monitored and the number of actuators firing. Also, the Support vector regression (SVR) technique was used to predict the air and water temperature values against humidity. Hence, this paper proposes a methodology consisting of theory and practice that can be successfully used in aquaculture and hydroponics farms.

Journal: International Journal of Simulation- Systems, Science and Technology- IJSSST V23

Published: no date/time given

DOI: 10.5013/IJSSST.a.23.01.07