DocumentCode
2088620
Title
Plant Disease Forecasting System Based on Datacollection
Author
Shi, Ming-wang ; Wang, Qing-lian ; Chen, Xi-ling ; Zhai, Ju-Huai ; Deng, Tian-fu ; Kong, Fan-bin ; Li, Xue-yong ; Liu, Qi-Li ; Lang, Jian-Fen
Author_Institution
Henan Inst. of Sci. & Technol., Xinxiang, China
fYear
2009
fDate
20-22 Sept. 2009
Firstpage
1
Lastpage
4
Abstract
China is one of the countries in the world that suffer serious natural disasters. Frequent and serious biological disasters cause great damage to crop production. The plant disease data of multiform could be analyzed and then a forecasting report was made.This article according to characteristic of the plant disease, introduced forecasts system´s design and key technologies realization based on data mining´s plant disease system. The data mining function may divide into two kinds: Description and forecast. The data mining is a kind of deep level data analysis, it can extract from the mass data has certain rule knowledge, the deep level´s development may further enhance the information resource the use value, the localized data through the data management module data input warehouse, according to the description, the knowledge excavation, finally achieves the forecast the effect. The system collection data management, the report form manufacture and the forecast in windows system.
Keywords
agriculture; crops; data mining; biological disaster; crop production; data collection; data mining; data warehouse; plant disease forecasting system; Crops; Data analysis; Data mining; Diseases; Information resources; Knowledge management; Production; Resource management; System analysis and design; Technology forecasting;
fLanguage
English
Publisher
ieee
Conference_Titel
Management and Service Science, 2009. MASS '09. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4638-4
Electronic_ISBN
978-1-4244-4639-1
Type
conf
DOI
10.1109/ICMSS.2009.5301610
Filename
5301610
Link To Document