DocumentCode :
2486671
Title :
Study on Applying Fuzzy Inference to Single Factor Prediction Method for Precipitation Irrigation Requirement Forecast
Author :
Chen, Qingqiu ; Li Jing ; Gao, Yexin
Author_Institution :
Sch. of Econ. & Commerce, South China Univ. of Technol., Guangzhou, China
fYear :
2010
fDate :
22-23 May 2010
Firstpage :
1
Lastpage :
5
Abstract :
The paper elaborates on the principle of applying fuzzy inference to single factor prediction method in precipitation irrigation requirement forecasting. Through the introduction of prediction example, the paper showed us how to conduct a prediction process specifically. Finally, it is proved that the precision of prediction of this approach can meet the need of agricultural production.
Keywords :
fuzzy reasoning; irrigation; precipitation; agricultural production; fuzzy inference; precipitation irrigation requirement forecast; single factor prediction method; Business; Economic forecasting; Fuzzy reasoning; Fuzzy sets; Irrigation; Paper technology; Prediction methods; Predictive models; Technology forecasting; Turning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems and Applications (ISA), 2010 2nd International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5872-1
Electronic_ISBN :
978-1-4244-5874-5
Type :
conf
DOI :
10.1109/IWISA.2010.5473684
Filename :
5473684
Link To Document :
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