LIU Jun,WANG Xuewei.Construction of Monitoring and Early-warning System of Agricultural Pests and Diseases in Shandong Province in Big Data Era[J].Northern Horticulture,2021,(03):166-170.[doi:10.11937/bfyy.20200865]
大数据时代山东农业病虫害监测预警体系建设
- Title:
- Construction of Monitoring and Early-warning System of Agricultural Pests and Diseases in Shandong Province in Big Data Era
- 文献标志码:
- A
- 摘要:
- 在大数据时代，海量的数据资源是推动经济发展和社会进步的基石，丰富、透明、完善的农业大数据资源是加快农业信息化建设步伐的前提，先进、有序、完备的农业病虫害监测预警体系是服务绿色农业发展的支撑。该研究试图在研究国内外农业病虫害监测预警体系的基础上，在农业专家的指导下，进行大数据时代农业病虫害监测预警体系构建。山东农业病虫害监测预警体系的建设应主动适应大数据时代的发展需求，分步构建病虫害监测预警体系，分层划分病虫害数据中心工作，合理布局病虫害数据采集站点，科学制定病虫害监测预警任务，共建共享病虫害监测数据信息，有效加强病虫害联合监测预警，努力研发病虫害智能识别终端，为发展现代高效农业提供坚实的保障。
- 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.
参考文献/References:
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备注/Memo
第一作者简介：刘君（1986-），女，硕士，讲师，现主要从事智慧农业与植物病虫害识别等研究工作。E-mail:liu_jun860116@wfust.edu.cn.基金项目：潍坊科技学院哲学社会科学校内青年基金资助项目（2018WKRQZ008，2018WKRQZ008-3）；2019年度山东省重点研发计划（软科学项目）资助项目(2019RKA07012)；2019年度山东省民办高校基础能力建设工程资助项目；2019年度设施园艺实验室资助项目（2019YY003,2018YY043,2018YY044）；2018年度教育部科技发展中心创新基金资助项目（2018A02013）；2019年度教育部产学合作协同育人资助项目；2019年度潍坊科技发展计划资助项目（2019GX081，2019GX082）；2018年度寿光市应用技术研究与开发计划资助项目（2018JH12）；2018年度校级课题资助项目（2018RC002）。收稿日期：2020-03-10