首页> 外国专利> GROWTH ENVIRONMENT ANALYSIS AND SHIPPING DATE PREDICTION SYSTEM FOR CROP BASED ON BIG DATA LINKED TO WEATHER IoT SERVER AND OPERATION METHOD THEREOF

GROWTH ENVIRONMENT ANALYSIS AND SHIPPING DATE PREDICTION SYSTEM FOR CROP BASED ON BIG DATA LINKED TO WEATHER IoT SERVER AND OPERATION METHOD THEREOF

机译:基于大数据连接到物联网服务器的农作物生长环境分析与发货日期预测系统及其操作方法

摘要

The present invention is to predict an optimal shipping date on a specific crop to provide the optimal shipping date to a user as well as generating an index with a reference value on an optimal crop growth environment by using a big data-based analysis system including weather information or the like as a medium to provide the index to the user. To this end, according to the present invention, a growth environment analysis and shipping date prediction system for a crop based on big data linked to a weather IoT server comprises: a plurality of user terminals accessing a system through wired and wireless Internet networks from a remote place; a basic information providing unit connected to the Internet network, and providing basic data to analysis a growth environment and to predict a shipping date for the specific crop; and an information providing system for providing analysis data on the growth environment and prediction data on the shipping date for the specific crop to the user by using big data based on the data collected from the basic information providing unit as a medium.;COPYRIGHT KIPO 2017
机译:本发明旨在通过使用包括天气在内的基于大数据的分析系统,预测特定作物的最佳运输日期,以向用户提供最佳运输日期,并在最佳作物生长环境上生成具有参考值的指数信息等作为向用户提供索引的媒介。为此,根据本发明,基于与气象物联网服务器链接的大数据的农作物的生长环境分析和装运日期预测系统包括:多个用户终端,它们通过有线和无线互联网网络从一个系统访问该系统。偏远的地方基本信息提供单元,其连接到因特网网络,并提供基本数据以分析生长环境并预测特定作物的发货日期;以及信息提供系统,用于基于从基本信息提供单元收集的数据,通过使用大数据向用户提供有关特定作物的生长环境分析数据和关于特定农作物装运日期的预测数据。COPYRIGHTKIPO 2017

著录项

  • 公开/公告号KR20170033518A

    专利类型

  • 公开/公告日2017-03-27

    原文格式PDF

  • 申请/专利权人 SAMO CNS CO. LTD.;

    申请/专利号KR20150131331

  • 发明设计人 KIM HYUN CHULKR;

    申请日2015-09-17

  • 分类号G06Q50/02;G01W1/10;G06Q10/04;

  • 国家 KR

  • 入库时间 2022-08-21 13:27:52

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