NDLI: The design of regional safe wheat production early warning system

Content Provider	IEEE Xplore Digital Library
Author	Wei Guo Xinming Ma Lei Xi Longlong Zhang
Copyright Year	2010
Description	Author affiliation: Information and Management Science College, Henan Agricultural University, Zhengzhou, China (Wei Guo; Xinming Ma; Lei Xi; Longlong Zhang)
Abstract	Early Warning System on grain is a warning system, which is used to prevent the yields of grain from going possibly abnormal in practice. The paper focuses on analyzing the regional wheat production. As it is based on former studies, which are actually very contributive, the analysis of regional wheat production in this paper instructs the research to the building of grain early warning model such as chemical model of grain early warning, physical model of grain early warning, background model of grain early warning and immediate supply and demand model of grain early warning. This system is based on.net framework, and it is implemented with soft component technology. In this study, a regional wheat safe production early warning system is to be established on the basis of food security detection data acquisition and dynamic evaluation knowledge model. The system can be offered scientific supplementary decision for food security management and related control. In the application of this system on Huaxian Henan we have seen actually extremely good results. The system implements the real-time detection of regional wheat production environment data and conducts the evaluation and early warning of safety of wheat supply and demand relation.
Starting Page	287
Ending Page	291
File Size	655492
Page Count	5
File Format	PDF
ISBN	9781424496730
ISSN	21544824
e-ISBN	9781889335421
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-19
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	TSI Press
Subject Keyword	Indexes Security Supply and demand Pollution Production Chemicals Aggregates component technology Food Security Early Warning Soft
Content Type	Text
Resource Type	Article

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