Input-output Analysis of Agricultural Economic Benefits Based on Big Data and Artificial Intelligence

Agricultural modernization is not only reflected in the agricultural technology, production equipment and development model, the more important embodiment is the development of the concept of modernization. To make scientific, rational and practical analysis and guidance on the whole process of agricultural production economy by means of information is helpful to the vigorous development of agriculture and related industries. The purpose of this paper is to provide better Suggestions and technical means for the rational planning of agricultural industry economy by analyzing the input and output of agricultural industry economic benefits based on big data and artificial intelligence. In this paper, the integrated use of big data and the method of artificial intelligence technology related theory, proposed from the perspective of scientific data organization architecture framework model for the evaluation of agricultural economic data, build data acquisition process model, put forward the multi-source, scattered repetition, flooded agricultural economic data resources for centralized framework for assessing analysis and solution. Finally, try in big data environment, respectively, from the dimension of the influence factors of agricultural economic data lifecycle dimension, service dimension three different dimensions explore implementation method, the results showed that the industrial economy in the process of running efficiency of the indicators were higher than 0.76, for the big data in the application of the agricultural economy provides a good example.