Intelligent Accounting Analysis of Agricultural Enterprise Performance Based on Big Data Analysis

Abstract

This study aims to investigate the intelligent accounting analysis of agricultural enterprise performance based on big data analysis. This paper takes the performance evaluation of agricultural enterprises in China as the starting point to study and analyze the index system of performance evaluation of agricultural enterprises. Combined with the big data analysis method, this paper uses data fusion and clustering algorithm to build the evaluation index system. This paper uses AHP to scientifically calculate the weight of the selected indicators and obtains the final indicator system of agricultural enterprise performance and the weight of each indicator. Based on the above methods, this paper discusses the influencing factors of the performance evaluation of agricultural enterprises, constructs the performance evaluation model of agricultural enterprises, empirically verifies and analyzes the performance level of agricultural enterprises in China. The empirical analysis results verify the accuracy of the big data fusion method in the performance evaluation of agricultural enterprises in China. This method has certain reference value for the research of intelligent accounting of agricultural enterprise performance.