Comparative Performance and Efficiency of two Automated (Based on Fuzzy Logic) and Conventional Rearing System, in Red Pacu (Piaractus brachypomus) Production

In the last decade، several studies have evaluated possibility of aquaculture production techniques improvement and the environmental conditions of fish during a culture period. Other researches have focused on presenting new technologies for fish management in semi-intensive and intensive aquaculture production systems، reducing the human intervention in the management of rearing systems designed for fish production. The educational intensive system of the present study was designed to reduce the level of human intervention in the fish culture system. Water quality sensors and automatic fuzzy logic controller were involved to the conventional system to get new system then compared to the first system. For this purpose، 50 pieces of red Pacu (Piaractus brachypomus) with mean initial weights of 15. 05±3. 47 and 14. 89±3. 43g، introduced to systems A & B rearing tanks، respectively to get twice initial weight after rearing. At the end of the fourth week، the average weight of the fish within the modern system at the A tank attained 56. 43±10. 06 g (3. 75 times the initial weight) and the average fish weight within the conventional system at the B tank reached as much as 40. 13±7. 38 g (2. 68 times the initial weight)، indicating average daily weight gain Indices of 1. 32 and 0. 65 grams per fish، specific growth rates of 5. 40 and 3. 16 percent and feed conversion rate 0. 73 and 1. 21 respectively، were obtained in both modern and conventional systems in comparison between the two ecosystems were significantly was different (P<0. 05). The environmental variables were kept within acceptable ranges for pacu production. It was concluded that it is possible to increase the productivity and profitability of the aquaculture system، using new approaches based on modern control techniques، such as fuzzy logic control، that promote water resource optimization.