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Showing papers in "Aquaculture Research in 2021"





Journal ArticleDOI
TL;DR: In this article, the authors investigated the effect of using probiotics Bacillus subtilis and Bacillus licheniformis in soya bean-based diets on the physiology of beluga (Huso huso).
Abstract: This study was conducted to investigate the effect of different methods of using probiotics Bacillus subtilis and Bacillus licheniformis in soya bean‐based diets on the physiology of beluga (Huso huso) (351 ± 4 g). Five experimental diets were formulated to feed beluga for 10 weeks. The results showed that there was no significant difference in weight gain between control (446 g) and 70%SBM‐SPRAY2 (409 g) treatments. Long‐chain polyunsaturated fatty acids in the muscle of beluga fed control (203.2 g/kg) and 70%SBM‐SPRAY2 (166.4 g/kg) diet did not change statistically. Blood performance as a newly introduced factor in individuals fed dietary control (64.06) and 70%SBM‐SPRAY2 (64.33) had higher value as compared with those fed dietary 70%SBM‐DIET2 (61.90) (p 6/mm3) in fish fed 70%SBM were statistically lower than other treatments (p

24 citations





Journal ArticleDOI
Dong An, Jin Hao1, Wei Yaoguang, Yaqian Wang1, Xiaoning Yu1 
TL;DR: In this article, a review summarizes the application and progress of computer vision in terms of all aspects of the intelligent feeding system, including underwater image preprocessing, fish target detection, fish weight and length detection and fish intelligent feeding decisions.
Abstract: Intelligent feeding will be an important mechanism for future aquaculture breeding, and the establishment of this system will also become a primary concern. At the same time, computer vision is rapidly developing as an effective intelligent feeding system. The combination of the two systems will contribute to increases in aquaculture, and their future development will be based on the innovation and implementation of existing technologies. This review summarizes the application and progress of computer vision in terms of all aspects of the intelligent feeding system, including underwater image preprocessing, fish target detection, fish weight and length detection, fish behaviour analysis and fish intelligent feeding decisions. We have summarized and analysed the methods used in each system to identify more ways to not hinder the senses of researchers and to expand the range of technologies that can be studied. The various research systems have progressed together, which has led to the establishment of intelligent feeding systems and the development of computer vision in intelligent feeding.

20 citations













Journal ArticleDOI
TL;DR: Results indicate that under effective dosages nanobubbles can be used in the production farms to control V.parahaemolyticus and increase oxygen levels.
Abstract: Nanobubble technology is used in wastewater treatment, but its disinfectant properties in aquaculture have not been clearly demonstrated. This study investigated the ability of nanobubbles to reduce Vibrio parahaemolyticus (AHPND strain) and to improve water quality. Two laboratory experiments were conducted over a one‐week period, that is (a) assessing the effects of air and oxygen nanobubbles for 60 minutes per day and (b) comparing effects of ozone nanobubble treatments for 2, 4 and 6 minutes per day. Experiments were done in triplicate 100 L tanks with 15‰ saline water, inoculated with an initial bacterial concentration of 106 CFU/ml. At the end of experiment 1, the bacterial concentration of the air and oxygen nanobubble groups was counted for 69% and 46% of the control group respectively. At the end of experiment 2, the bacterial concentration of the 2‐, 4‐ and 6‐minute ozone nanobubble groups were counted for 23%, 2.2% and 0% of the control group respectively. Oxygen and ozone nanobubbles significantly increased oxygen reduction potential and oxygen values. Results indicate that under effective dosages nanobubbles can be used in the production farms to control V.parahaemolyticus and increase oxygen levels.