|Table of Contents|

Construction of Monitoring and Early-warning System of Agricultural Pests and Diseases in Shandong Province in Big Data Era

《北方园艺》[ISSN:1001-0009/CN:23-1247/S]

Issue:
2021年03
Page:
166-170
Research Field:
Publishing date:

Info

Title:
Construction of Monitoring and Early-warning System of Agricultural Pests and Diseases in Shandong Province in Big Data Era
Author(s):
LIU Jun; WANG Xuewei
(Facility Horticulture Laboratory of Universities in Shandong,Weifang University of Science and Technology,Weifang,Shandong 262700)
Keywords:
big data era; agricultural diseases and insect pests; monitoring and early warning
PACS:
-
DOI:
10.11937/bfyy.20200865
Abstract:
In the era of big data,massive data resources are the cornerstone of promoting economic development and social progress.Rich,transparent and perfect agricultural big data resources were the premise of accelerating the pace of agricultural information construction.Advanced,orderly and complete monitoring and early warning system of agricultural diseases and insect pests was the support of serving the development of green agriculture.Based on the study of the monitoring and early warning system of agricultural diseases and insect pests at home and abroad,under the guidance of agricultural experts,this study attempted to build the monitoring and early warning system of agricultural diseases and insect pests in the era of big data.The construction of Shandong agricultural pest monitoring and early warning system should take the initiative to meet the development needs of the era of big data,build the pest monitoring and early warning system step by step,divide the work of pest data center by layer,reasonably arrange the pest data collection sites,scientifically formulate the pest monitoring and early warning tasks,jointly build and share the pest monitoring data information,and effectively strengthen the joint monitoring and early warning of pests and diseases.Efforts should be made to develop intelligent identification terminals for diseases and insect pests to provide a solid guarantee for the development of modern and efficient agriculture.

References:

[1]徐小俊,孙继华.国外绿色植保的经验与启示[J].世界农业,2016(12):173-178.[2]刘万才,武向文,任宝珍,等.美国的农作物病虫害数字化监测预警建设[J].中国植保导刊,2010,30(8):51-54.[3]梁瑞华.农业人工智能实践探索与发展路径探究[J].学习论坛,2019(2):31-36.[4]李哲敏,任育锋,彭春燕.大数据时代的澳大利亚农业信息监测预警体系[J].世界农业,2015(10):21-26,239.[5]刘万才,黄冲,刘杰.韩国农作物有害生物监测预警建设的经验[J].世界农业,2016(5):59-63,67.[6]王东杰.大数据视角下的粮食安全预警研究[D].北京:中国农业科学院,2017.[7]许世卫.农业监测预警中的科学与技术问题[J].科技导报,2018,36(11):32-44.[8]刘万才,黄冲.我国农作物现代病虫测报建设进展[J].植物保护,2018,44(5):159-167.[9]张振铎,秦文艳,陈俸,等.吉林省农作物病虫害测报信息化建设主要成效及发展思路探讨[J].中国植保导刊,2018,38(8):92-94,98.[10]张振铎,张丹华,金正海,等.建设现代化病虫监测预警体系助力农药用量零增长[J].中国植保导刊,2019,39(2):87-89,94.[11]国务院:国务院关于印发促进大数据发展行动纲要的通知[EB/OL].http://www.gov.cn/zhengce/con-tent/2015-09/05/content_10137.htm.（2015-09-05）[2020-03-10].[12]许世卫.农业大数据与农产品监测预警[J].中国农业科技导报,2014,16(5):14-20.[13]籍延宝.农业主要病虫害监测预警系统通用平台的开发及初步应用[D].北京:中国农业大学,2014.

Memo

Memo:
-
Last Update: 2021-06-04