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作 者:李海涛[1] 王新安 丰艳[1] 兰长杰 LI Hai-Tao WANG Xin-Anl FENG Yan LAN Chang-Jie(School of Information Science & Technology, Qingdao University of Science & Technology, Qingdao 266061, China Qingdao Limap Information Technology Co. Ltd., Qingdao 266000, China)
机构地区:[1]青岛科技大学信息科学与技术学院,青岛266061 [2]青岛励图高科信息技术有限公司,青岛266000
出 处:《计算机系统应用》2017年第10期73-76,共4页Computer Systems & Applications
基 金:山东省自然科学基金(ZR2013FL014);山东省高等学校科技计划项目(J13LN73)
摘 要:针对工厂化海参养殖信息化低的现状,设计并实现了具有养殖环境水质监测、养殖环境水质分析评价、水下视频观测、养殖知识普及等功能的系统.该系统经测试,水质检测准确,水下视频观测实时清晰,可以满足海参养殖的实际需要.系统的推广可以帮助养殖企业进行养殖决策,提高养殖的智能化水平.利用工业化和智能化在水产养殖业领域的纵向扩散和深度融合,来探索现代化养殖模式,提升智能技术在渔业经济发展中的贡献率.To improve the poor quality of industrialized sea cucumber farming, the system of water quality monitoring,aquatic environment water quality analysis and evaluation, underwater video observation and breeding knowledge popularization were designed and realized. The system has been tested to be accurate in the water quality, and the underwater video observation is real-time and clear, which can meet the actual needs of sea cucumber breeding. The promotion of the system can help aquaculture enterprises to carry out breeding decision-making, and improve their intelligence farming. The use of industrialization and intelligence in the field of aquaculture vertical diffusion and deep integration helps to explore the modern farming model, to enhance the smart technology in the fishery economic development contribution rate.
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