An Evaluation Model of Agricultural Entrepreneurial Ecological Environment Quality Oriented to Public Health Topic Using the Optimized Neural Network Algorithm.

As the primary industry, agriculture is a prerequisite for human survival and a basic industry of the national economy. As a result, the growth of agriculture is vital for the nation's socioeconomic development. The construction of ecological civilization and the reform and innovation of farmers' digital entrepreneurial behavior in the region are intimately correlated with the agricultural eco-environmental quality. Therefore, it is crucial for us to improve control and maintenance of the agricultural eco-environment. A requirement for directing the sustainable growth of the agricultural economy is evaluating and identifying the quality of the regional eco-environment and the issues it faces. In view of this, the study employs Jiangsu Province as a research example, builds a comprehensive index evaluation system, and uses the modified BP neural network to evaluate the agricultural eco-environmental quality in the target area between 2010 and 2020. First, the evaluation system is constructed from four dimensions: ecological resource status, environmental pollution degree, eco-environmental protection efforts, and agricultural development level, and 14 influencing factors are then screened out as specific secondary evaluation indicators. Second, a GA-BP model will be applied to comprehensively assess the quality of the agricultural eco-environment in the province over the past 10 years. The comprehensive score of the province's agricultural eco-environmental quality was calculated, and the quality level was classified by this. Meanwhile, the indicators' scores were paired with an analysis of each contributing factor's degree of change. The findings indicate that from 2010 to 2020, Jiangsu Province's agricultural eco-environment demonstrated a favorable trend, a reasonably high-quality level, and a tendency of continuous improvement from bad to good. The results of each indicator measuring the quality of the agricultural environment fluctuated, but overall they showed an upward trend. Finally, in order to offer a reference for agricultural eco-environment control and protection and a good ecological environment for farmers' digital entrepreneurship in the near future, countermeasures and suggestions are proposed for the restoration of the agricultural eco-environment in Jiangsu Province referring to the results of the research and the problems already present in the area.