Title :
The design of regional safe wheat production early warning system
Author :
Guo, Wei ; Ma, Xinming ; Xi, Lei ; Zhang, Longlong
Author_Institution :
Inf. & Manage. Sci. Coll., Henan Agric. Univ., Zhengzhou, China
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.
Keywords :
alarm systems; crops; data acquisition; food processing industry; food safety; network operating systems; object-oriented programming; production engineering computing; real-time systems; supply and demand; .net framework; background model; chemical model; dynamic evaluation knowledge model; food security detection data acquisition; food security management; grain early warning model; physical model; real-time detection; regional safe wheat production early warning system design; regional wheat production environment data; regional wheat safe production early warning system; scientific supplementary decision; soft component technology; supply and demand model; wheat supply and demand; Aggregates; Chemicals; Indexes; Pollution; Production; Security; Supply and demand; Early Warning; Food Security; Soft; component technology;
Conference_Titel :
World Automation Congress (WAC), 2010
Conference_Location :
Kobe
Print_ISBN :
978-1-4244-9673-0
Electronic_ISBN :
2154-4824