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中国农学通报 ›› 2021, Vol. 37 ›› Issue (10): 107-112.doi: 10.11924/j.issn.1000-6850.casb2020-0237

所属专题: 农业工程 农业气象 智慧农业

• 资源·环境·生态·土壤·气象 • 上一篇    下一篇

“锄禾问天”智慧气象为农服务系统的设计与开发

李玉华(), 褚希(), 车军辉, 李文科, 李旭旭   

  1. 山东省气象服务中心,济南 250031
  • 收稿日期:2020-07-06 修回日期:2020-10-15 出版日期:2021-04-05 发布日期:2021-04-12
  • 通讯作者: 褚希
  • 作者简介:李玉华,男,1965年出生,山东莱阳人,高级工程师,本科,研究方向为气象服务与应用气象。通信地址:250031 山东省济南市天桥区无影山路12号 山东省气象服务中心,Tel:0531-81603661,E-mail: lyh15666976863@sohu.com
  • 基金资助:
    华东区域气象科技协同创新基金合作项目“海洋智慧气象服务信息靶向精准发布技术研究”(QYHZ201814);山东省气象局气象科学技术研究项目“基于大数据分析的精准靶向农业气象服务APP‘锄禾问天’研发”(2018sdqxz07)

Design and Development of “Chu He Wen Tian” Intelligent Weather Service System for Agriculture

Li Yuhua(), Chu Xi(), Che Junhui, Li Wenke, Li Xuxu   

  1. Shandong Provincial Meteorological Service Center, Jinan 250031
  • Received:2020-07-06 Revised:2020-10-15 Online:2021-04-05 Published:2021-04-12
  • Contact: Chu Xi

摘要:

为满足精准为农气象服务需要,基于Android系统,使用开源软件,采用Java语言,按照大数据采集、大数据分析、智慧感知用户需求、智慧精准靶向推送的设计理念,开发具备自我感知、判断分析以及自适应能力的“锄禾问天”智慧气象为农服务系统,前端系统“锄禾问天”APP可智慧感知用户需求,众筹用户气象指标等信息,后端支持系统进行大数据分析,利用人工智能技术,结合气象实况及预报数据,生成“一对一”的智慧气象服务产品,再通过云服务端精准靶向推送用户。系统已在山东省全面推广应用。

关键词: 智慧气象, 现代农业, 大数据, 服务系统, APP

Abstract:

To ensure targeted agricultural meteorological services, the “Chu He Wen Tian” weather service system has been developed by using the Java based on Android. According to the design concept of big data collection, big data analysis, intelligent perception of users’ requirement, intelligent targeting and pushing, the “Chu He Wen Tian” weather service system has the ability of self-perception, judgment and self-adaptation. The front-end system can intelligently perceive users’ requirement and collect users’ meteorological index information. The back-end system can carry out big data analysis, combine the actual weather forecast data to generate ‘one-to-one’ intelligent meteorological service products by using artificial intelligence. Finally, the accurate weather service information can be pushed to users through the cloud service terminal. This weather service system has been widely used in Shandong Province.

Key words: intelligent weather, modern agriculture, big data, service system, APP

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