Published in Scientific Papers. Series E. Land Reclamation, Earth Observation & Surveying, Environmental Engineering, Vol. XIII
Written by Ira-Adeline SIMIONOV, Lin KONG, Samnang PEL, Catalin PLANTON, Domenico CARUSO, Jacques SLEMBROUCK, Stefan-Mihai PETREA
In Cambodia, the aquaculture sector registers as one of the fastest-growing food sectors, with a mean annual growth of more than 18% between 2002 and 2020. The main challenge associated with the intensification of aquaculture is the discharge of untreated effluents, which contain large amounts of organic matter, nutrients, minerals, and other chemicals. Among these, ammonia (NH3) is of the highest interest to monitor and measure in the technological water since it directly influences the survival and growth performance of the fish biomass. At the same time, the discharge of aquaculture wastewaters, containing high concentrations of ammonia, can generate water eutrophication in the natural aquatic environments receiving the effluents. The present study aimed to develop a virtual sensor capable of estimating the concentration of NH3 in the technological water of a typical earthen aquaculture pond from Phnom Penh – Cambodia. Multiple decision tree algorithms were employed for the prediction analysis and the accuracy was established based on RMSE (root mean square error) and R squared values.
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