In recent years, aquaculture industry in China is developing rapidly, and especially, China has the largest aquaculture area and the most output in the world. In the past, traditional aquaculture mainly depended on ma...In recent years, aquaculture industry in China is developing rapidly, and especially, China has the largest aquaculture area and the most output in the world. In the past, traditional aquaculture mainly depended on manual labour to breed and gain aquatic organisms. However, with the increasing scale of production and the continuous improvement of science and technology, the traditional aquaculture approach has become more and more unsuitable for the development of the times. With the rapid development of computer technology, computer vision technology infiltrates through the traditional aquaculture industry quickly and improves the aquaculture production efficiency .This paper mainly introduces the basic situation of computer vision technology and summarizes the application of computer vision technology in aquaculture industry at home and abroad. The paper concludes with the expectation of application of computer vision in the aquaculture.展开更多
The paper design intelligent monitoring system of aquaculture based on CC2530 wireless sensor networks, combined with the actual situation, takes the tilapia as an example to analyze detailed of the process in intelli...The paper design intelligent monitoring system of aquaculture based on CC2530 wireless sensor networks, combined with the actual situation, takes the tilapia as an example to analyze detailed of the process in intelligent high density culture. At the same time, the paper introduced each function module of aquaculture for the intelligent monitoring system and formulate control standard according to the aquatic products in different growth stages of demand, through the real-time monitoring of aquaculture environment, measured the standard parameter setting of parameters and the system automatically adjusts the aquaculture environment comparison. The test results show that the temperature error is in the range of 0.5 ℃, dissolved oxygen amount of error is in the range of 0.3mg/L, the error of pH value is within 0.3, system data transmission correct rate is more than 98%.展开更多
文摘In recent years, aquaculture industry in China is developing rapidly, and especially, China has the largest aquaculture area and the most output in the world. In the past, traditional aquaculture mainly depended on manual labour to breed and gain aquatic organisms. However, with the increasing scale of production and the continuous improvement of science and technology, the traditional aquaculture approach has become more and more unsuitable for the development of the times. With the rapid development of computer technology, computer vision technology infiltrates through the traditional aquaculture industry quickly and improves the aquaculture production efficiency .This paper mainly introduces the basic situation of computer vision technology and summarizes the application of computer vision technology in aquaculture industry at home and abroad. The paper concludes with the expectation of application of computer vision in the aquaculture.
文摘The paper design intelligent monitoring system of aquaculture based on CC2530 wireless sensor networks, combined with the actual situation, takes the tilapia as an example to analyze detailed of the process in intelligent high density culture. At the same time, the paper introduced each function module of aquaculture for the intelligent monitoring system and formulate control standard according to the aquatic products in different growth stages of demand, through the real-time monitoring of aquaculture environment, measured the standard parameter setting of parameters and the system automatically adjusts the aquaculture environment comparison. The test results show that the temperature error is in the range of 0.5 ℃, dissolved oxygen amount of error is in the range of 0.3mg/L, the error of pH value is within 0.3, system data transmission correct rate is more than 98%.