Title :
Forecasting Method on Pear Scab Based on Fusion Reasoning
Author :
Lichuan, Gu ; Zhiwei, Ni ; Shaowen, Li ; Youhua, Zhang
Author_Institution :
HeFei Univ. of Technol., Hefei
Abstract :
At present, the forecasting methods on fruit diseases have the problems of inefficient reasoning and poor effects of forecasting. In this paper, a integrated reasoning method based on CBR and RBR is studied. A fusion reasoning frame based on CBR and RBR is put forward, a forecasting system on pear scab is designed and developed based on the frame as well. Statistical analysis is conducted between the real data and the forecasting data of Dangshansu pear scab, which shows the new method is better than the current methods in efficiency and precision for forecasting the occurrence tendency of Dangshansu pear scab.
Keywords :
agricultural products; case-based reasoning; diseases; statistical analysis; Dangshansu pear scab forecasting method; fruit diseases; fusion reasoning; integrated reasoning method; occurrence tendency; statistical analysis; Artificial intelligence; Computational intelligence; Crops; Diseases; Expert systems; Mathematical model; Mathematics; Predictive models; Technology forecasting; Technology management;
Conference_Titel :
Computational Intelligence and Security Workshops, 2007. CISW 2007. International Conference on
Conference_Location :
Heilongjiang
Print_ISBN :
978-0-7695-3073-4
DOI :
10.1109/CISW.2007.4425519