The key technologies of aquaculture informatization mainly include information acquisition technology, information processing and application technology. Information acquisition technologies include knowledge mining technology, sensor network technology and remote sensing technology. Information processing and application technologies include water quality monitoring, early warning and management, and disease diagnosis. With early warning, biological behavioral modeling of aquaculture animals, water plant culture feed formula and feeding decisions. The specific small series will be explained in detail below. 1 Information acquisition technology for aquaculture 1.1 Knowledge Mining Technology Through literature review, expert interviews, questionnaire surveys, etc., to view technical publications related to aquaculture, breeding diaries, research literature, real cases, expert experience, etc., through manual sorting and information editing, information is entered into the database, through knowledge mining technology. In-depth exploration of the knowledge related to aquaculture, and automatically converted into automatic computer identification and application. The advantage of knowledge mining technology is that it can identify knowledge qualitatively and quantitatively. The disadvantage is that the construction of aquaculture expert system requires the cooperation of knowledge engineers and so on, and the system construction time is longer. 1.2 Sensor Network Technology The sensor network technology mainly faces two objects of water environment parameters and fish behavior parameters. The main content is the identification of water quality parameters and the selection of sensor types. The development of sensors mainly takes into account the development of chemical sensors for the characteristics of different chemicals. The identification of parameters depends on the application of sensors, image acquisition and image processing techniques. For the extraction of certain feature quantities, it depends on certain algorithms. 1.3 Remote sensing technology Remote sensing technology can use remote sensing instruments to establish corresponding remote sensing information collection models to achieve regional information collection. Remote sensing technology acquires and monitors regional water environment information, including water body transparency, water body temperature, and water body oxygen concentration. 2 Aquaculture information processing and application technology 2.1 Water quality monitoring, early warning and management Water quality monitoring and early warning are mainly to monitor the dissolved oxygen content, temperature, pH value and other factors in the water source, as well as illuminance, wind speed and conductivity. 2.2 Disease diagnosis and early warning Aquatic diseases can have a bad impact on aquaculture, so it is necessary to diagnose and warn aquatic disease information. Through the collection of fish disease manifestations, characteristics and other information, the disease diagnosis expert system is established, the subsequent case information collection database is established, information collection and sharing is promoted, and a system for remote diagnosis and information storage is established. 2.3 Biological behavior modeling of aquaculture animals Aquaculture animal behavior research is the quantitative analysis of the behavior of different species of fish under different culture environments and conditions, research on certain factor-specific fish, including video acquisition, image processing, behavioral analysis and descriptive evaluation. Wait. Specific analysis includes movement distance, swimming, fish structure, speed, and oxygen tolerance. 2.4 Water plant breeding feed formula and feeding decision Through the establishment of aquaculture decision-making system, the influencing factors of feed feeding in the culture process were analyzed, and the formula model was constructed. At the same time, the feeding decision model was determined according to the eating behavior of aquatic animals or related parameters, so as to analyze the best feed ratio of aquaculture and Feeding decisions to improve aquaculture efficiency and quality. With the development of intelligence, the future aquaculture information processing is gradually moving towards intelligent and model development. The application of artificial intelligence and data mining technology will make information processing more efficient and accurate, and can effectively solve the problems encountered in the breeding of New Year's Eve. The problem. China Extract Powder For Use As Dietary Supplement Extract Powder, Extract Powder Manufacturer Shaanxi Kang New Pharmaceutical co., Ltd. , https://www.apipepdites.com
