Data mining and statistics issues of precision and intelligent agriculture based on big data analysis

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.