Target Detection System of Agricultural Economic Output Efficiency Based on Kruskal Algorithm

Abstract

In recent years, with the deepening of economic globalization and the completion of agricultural modernization in developed countries, my country’s agricultural development is facing severe challenges. The issues of agricultural modernization, economic efficiency and sustainable development have always been the focus of scholars’ research. In order to more effectively understand the problems existing in the current agricultural economic output efficiency, this paper introduces the Kruskal algorithm to design and research the agricultural economic output rate target detection system. An overview of the selected technologies related to agricultural economy, followed by the design and discussion of the experimental environment and data set of the agricultural economy output efficiency target detection system based on the Kruskal algorithm, and finally the experimental test of the designed system. In the agricultural economic output efficiency target detection system with the stability rate of 789 and 657, the Kruskal algorithm has an average reduction of 0.45 and 0.65 in the instability rate compared with the other two algorithms. The experimental data shows that the Kruskal algorithm is better than the other two algorithms. The algorithm is more stable in the target detection system of agricultural economic output efficiency, it will not change with the change of the similarity value, but is in a relatively stable state, which is more applicable.