基于时间序列模式挖掘的烟草害虫监测系统

2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS) Pub Date : 2020-03-01 DOI:10.1109/ICAIIS49377.2020.9194910

Dong Zhigang, Li Lin, W. Xuejun, Wang Guangchao, Gao Yang, Wang Guofeng

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引用次数: 0

摘要

为了实现烟草有害生物的快速报告和定量预测，建立了烟草有害生物预测模型，利用时间序列数据挖掘技术实现烟草有害生物趋势的预防和控制。实验结果表明，数据的有效预测有利于烟草有害生物的有效监测。

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Tobacco pests monitoring system based on time sequence pattern mining*

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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来源期刊

2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS)

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