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水产动物病害测报系统的设计与实现
引用本文:张红燕.水产动物病害测报系统的设计与实现[J].中国农学通报,2009,25(15):0-284.
作者姓名:张红燕
作者单位:中国水产科学研究院淡水渔业研究中心,农业部淡水鱼类遗传育种和养殖生物学重点开放实验室,江苏,无锡,214081
基金项目:中央级公益性科研院所基本科研业务费专项资金(中国水产科学研究院淡水渔业研究中心)资助项目 
摘    要:通过对病害的诊断与流行危害程度的确认,准确反应区域性养殖对象阶段性病害发生状况,并在综合分析的基础上对发病趋势进行预报,其目的是能够提早采取防治对策,最大限度减少病害损失。本研究应用现代网络技术、数据库技术、GIS技术进行水产动物病害测报,提高测报数据采集、处理、传递和发布速度,为生产和管理部门及时了解水产动物病害的发生动态、预防和控制疫病的蔓延提供有效方法作了初步探讨。以江苏省为例,结合本系统的功能进行了实际应用实践,预测的结果和实际的病害发生有一定的差距,但趋势是保持一致的。

关 键 词:迎茬  迎茬  夏大豆  荚而不实  预防措施  
收稿时间:2009-04-09
修稿时间:2009-04-22

DESIGN AND ACCOMPLISHMENT OF FORECASTING SYSTEM ON AQUATIC ANIMAL DISEASE
Zhang Hongyan,Yuan Yongming,He Yanhui,Gong Yunchong,Wang Hongwei.DESIGN AND ACCOMPLISHMENT OF FORECASTING SYSTEM ON AQUATIC ANIMAL DISEASE[J].Chinese Agricultural Science Bulletin,2009,25(15):0-284.
Authors:Zhang Hongyan  Yuan Yongming  He Yanhui  Gong Yunchong  Wang Hongwei
Institution:(Key Laboratory of Genetic Breeding and Aquaculture Biology of Freshwater Fishes, Ministry of Agriculture, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi Jiangsu 214081)
Abstract:Aquatic animal disease reporting is identified through the diagnosis and recognition of epidemic diseases. Accurately response the periodical situation of regional aquaculture and comprehensive analysis of the incidence on the basis of forecasting trends in the entire process, which aimed to take early control measures and minimize disease loss.The application of modern network technology, database technology, GIS technology for forecasting aquatic animal diseases speed up monitoring data collecting, processing, transmission and dissemination and enable the producer and policy maker to acquire the information on situation of disease occurrence, prevention and control of aquatic animal diseases timely, which were discussed primarily. Taken the Jiangsu province as an example, the result from forecasting system had some difference with real aquatic animal disease eruption, though the trend of aquatic animal disease was consistent.
Keywords:aquatic animal  diseases  database  forecasting system
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