Dong Zhigang, Li Lin, W. Xuejun, Wang Guangchao, Gao Yang, Wang Guofeng
{"title":"Tobacco pests monitoring system based on time sequence pattern mining*","authors":"Dong Zhigang, Li Lin, W. Xuejun, Wang Guangchao, Gao Yang, Wang Guofeng","doi":"10.1109/ICAIIS49377.2020.9194910","DOIUrl":null,"url":null,"abstract":"In order to achieve rapid reporting and quantitative prediction of tobacco pests, one tobacco pests forecasting model was established to realize the prevention and control the tobacco pests' trends by time series data mining technology. The experimental result shows that the effective prediction of data is conducive to the effective tobacco pests monitoring.","PeriodicalId":416002,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAIIS49377.2020.9194910","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In order to achieve rapid reporting and quantitative prediction of tobacco pests, one tobacco pests forecasting model was established to realize the prevention and control the tobacco pests' trends by time series data mining technology. The experimental result shows that the effective prediction of data is conducive to the effective tobacco pests monitoring.
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