Plant Disease Forecasting System Based on Datacollection

• Published in: 2009 International Conference on Management and Service Science pp. 1 - 4
• Main Authors: Ming-wang Shi, Qing-lian Wang, Xi-ling Chen, Ju-huai Zhai, Tian-fu Deng, Fan-bin Kong, Xue-yong Li, Qi-Li Liu, Jian-fen Lang
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.09.2009
• Subjects: Crops; Data analysis; Data mining; Diseases; Information resources; Knowledge management; Production; Resource management; System analysis and design; Technology forecasting
• ISBN: 1424446384; 9781424446384
• DOI: 10.1109/ICMSS.2009.5301610

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.