A new system for monitoring health status in Norwegian aquaculture

被引:0
作者
Thorud, K. [1 ]
Brun, E.
Lillehaug, A.
Almklov, M. [1 ]
Romstad, S.
Binde, M.
机构
[1] Minist Fisheries & Coastal Affairs, Oslo, Norway
来源
OIE GLOBAL CONFERENCE ON AQUATIC ANIMAL HEALTH | 2007年 / 129卷
关键词
aquaculture; fish health; monitoring system; Norway;
D O I
暂无
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
In Norway there is an official system (ANISTAT) for reporting notifiable diseases to the Norwegian Food Safety Authority, which is mainly done by veterinarians and laboratories. Another separate official system (HAVBRUKSDATA) is also in place, for reporting production data from fish farms, such as the number of fish put into the sea, and their weight, density, feed consumption and mortality. The reported data are aggregated monthly with information from companies' private databases related to each production site and each production unit. There also are official procedures in place for the registration of drugs used in aquaculture, based on veterinary prescriptions. However there is no electronic system for active reporting diseases influencing production and/or welfare. It is our aim to establish a more advanced official system for monitoring the health situation in Norwegian fish farms (MFISK) by linking relevant production data from the various private databases to an official disease database. The output of the new system will be improved statistics on diseases in the Norwegian fish farming industry, with diseases sorted by their impact on production and welfare. This will enable us to identify diseases that, overtime, cause such losses that they should be dealt with by the authorities, or by the farmers themselves. It will also have an early warning function regarding new/emerging diseases or disease trends. This system quantifies losses due to health problems and, in the long run, will be a useful tool for strengthening fish health. The system aims to combine data from various sources: the veterinary and fisheries authorities in Norway, farmers, veterinarians and laboratories. To be sustainable, it will need the active and constructive cooperation of all these stakeholders.
引用
收藏
页码:65 / 69
页数:5
相关论文
共 50 条
  • [41] Research and Implementation of an Aquaculture Monitoring System Based on Flink, MongoDB and Kafka
    Lou, Yuansheng
    Chen, Lin
    Ye, Feng
    Chen, Yong
    Liu, Zihao
    COMPUTATIONAL SCIENCE - ICCS 2019, PT III, 2019, 11538 : 648 - 657
  • [42] Energy-efficient automatic monitoring system of aquaculture based on WSN
    Shi, G. (jsjby@em.jpu.edu.cn), 1600, Chinese Society of Agricultural Engineering (29): : 166 - 174
  • [43] Design and implementation of a distributed IoT system for the monitoring of water quality in aquaculture
    Encinas, Cesar
    Ruiz, Erica
    Cortez, Joaquin
    Espinoza, Adolfo
    2017 WIRELESS TELECOMMUNICATIONS SYMPOSIUM (WTS), 2017,
  • [44] Microcontroller based distributed monitoring system for fresh water fish aquaculture
    Neelamegam, P.
    Kumaravel, S.
    Raghunathan, R.
    INSTRUMENTATION SCIENCE & TECHNOLOGY, 2008, 36 (05) : 515 - 524
  • [45] Monitoring for benthic impacts in the southwest New Brunswick salmon aquaculture industry
    Janowicz, M
    Ross, J
    ICES JOURNAL OF MARINE SCIENCE, 2001, 58 (02) : 453 - 459
  • [46] Jam Status Monitoring System in Manufacturing System Environment
    Jeong, Hwa-Young
    Kim, Yoon-Ho
    MECHATRONICS AND APPLIED MECHANICS, PTS 1 AND 2, 2012, 157-158 : 1620 - +
  • [47] Aquaculture: global status and trends
    Bostock, John
    McAndrew, Brendan
    Richards, Randolph
    Jauncey, Kim
    Telfer, Trevor
    Lorenzen, Kai
    Little, David
    Ross, Lindsay
    Handisyde, Neil
    Gatward, Iain
    Corner, Richard
    PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2010, 365 (1554) : 2897 - 2912
  • [48] Analysis of an optical imaging system prototype for autonomously monitoring zooplankton in an aquaculture facility
    Bowman, M. N.
    Mcmanamay, R. A.
    Perez, A. Rodriguez
    Hamerly, G.
    Arnold, W.
    Steimle, E.
    Norris, B.
    Prangnell, D.
    Matthews, M.
    AQUACULTURAL ENGINEERING, 2024, 104
  • [49] A Review of Unmanned System Technologies with Its Application to Aquaculture Farm Monitoring and Management
    Ubina, Naomi A.
    Cheng, Shyi-Chyi
    DRONES, 2022, 6 (01)
  • [50] Monitoring coastal aquaculture devices in Taiwan with the radio frequency identification combination system
    Yang, Jen-Han
    Yu, Lan-Lung
    Liu, Ching-Tsung
    Chang, Yi
    Yang, Jen-Yu
    Hsu, Tung-Yao
    Hsiao, Shih-Chun
    GISCIENCE & REMOTE SENSING, 2022, 59 (01) : 96 - 110