ABSTRACT

In order to improve the effect of agricultural data mining and statistics in the Internet era, based on data mining technology, this paper combines data mining technology with modern agricultural information to solve the problems of poor timeliness and incomplete information in the collection and sorting of agricultural information. Moreover, this paper makes innovations in time series representation and time series measurement, and uses custom methods to improve agricultural data mining and statistical algorithms. In addition, this paper finds reasonable mining methods to acquire knowledge through data analysis. Finally, this paper combines the actual needs to construct a data mining and statistical analysis model of precision and intelligent agriculture based on big data analysis, and designs experiments to verify the performance of the model. The research results show that the model constructed in this paper has a certain effect.

摘要

为提高互联网时代农业数据挖掘与统计的效果，本文以数据挖掘技术为基础，将数据挖掘技术与现代农业信息相结合，解决农业信息采集整理中时效性差、信息不全的问题。信息。此外，本文在时间序列表示和时间序列测量方面进行了创新，并使用自定义方法改进了农业数据挖掘和统计算法。此外，本文还通过数据分析找到了合理的挖掘方法来获取知识。最后，本文结合实际需求，构建了基于大数据分析的精准智能农业数据挖掘和统计分析模型，并设计实验验证模型的性能。