Title :
Research on Rice Pests and Diseases Warning Based on CBR
Author :
Dai Xiaopeng ; Li Donghui
Author_Institution :
Sch. of Inf. Sci. & Technol., Hunan Agric. Univ., Changsha, China
Abstract :
Rice pests and diseases´ occurrence and development are closely linked with climate change. Its´ occurrence and outbreak have a certain similarity on weather conditions. In order to improve the prevention and control level of pests and diseases of rice, this paper establishes rice pests and diseases warning case based reasoning using data mining technology and implemented forecast adopting database case retrieval methods based on similarity measurement principle.
Keywords :
agriculture; case-based reasoning; climate mitigation; crops; data mining; database management systems; geophysics computing; information retrieval; pest control; weather forecasting; CBR; case based reasoning; climate change; data mining technology; database case retrieval methods; diseases warning; pest control level improvement; pest prevention level improvement; rice pests; similarity measurement principle; weather conditions; Cognition; Data mining; Data models; Databases; Diseases; Educational institutions; Meteorology; Case-Based Reasoning; Data Mining; Weather Case-Base; Weather Forecast;
Conference_Titel :
Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on
Conference_Location :
Shiyang
DOI :
10.1109/ICCIS.2013.454
