Research on Sustainable Development of Food Systems Based on Data Mining Technology

Abstract

With the progress of society, the problem of people's food and clothing has been basically solved, but the unbalanced development makes the level of sustainability of the food system incompatible with the level of modern technological development. Based on SPSS, MATLAB, and PYTHON computing software and data mining techniques such as factor analysis and time series analysis, this paper constructs a food system security evaluation index system and gives the contribution rate of each index to the efficiency, effectiveness, equity, and sustainability of the food system security. A linear programming model favoring the sustainable development of the food system was constructed, and the incentive strategy for sustainable development was given according to the load of sustainable development factors. The validity and feasibility of the model were tested.