Asian Journal of Agricultural Extension, Economics & Sociology

As a large agricultural country, China is promoting the development of agriculture in the direction of modernization and ecology. There are still some problems in the process of vigorous and coordinated development of regional resources. In order to narrow the temporal and spatial differences in the development of ecological agriculture and solve relevant development problems, this study puts forward targeted measures and policies from 18 cities in Henan Province, an important grain producing area in China. The comprehensive evaluation index system including economy, society, environmental and ecology calculated by U-EBM model is constructed for the first time, and the grey weighted clustering model based on improved entropy weight method is used to analyze and evaluate the overall development of ecological agriculture in each city for the first time. This method provides a new evaluation angle, and uses the idea of "less data and grey information" in grey theory to test the development trend and influence mechanism of regional ecological agriculture. It is found that fixed asset investment accounts for a large proportion in water-saving irrigation rate, total power of agricultural machinery and ecological agriculture efficiency, which is the key factor affecting the sustainable development of ecological agriculture. The results of data-driven clustering show that there are significant differences in the development of eco agriculture in various regions of Henan Province, which can be roughly divided into three gray levels. The model conforms to the actual situation of unbalanced development of ecological agriculture in various regions of Henan Province, verifies the reliability of the model, and provides accurate evaluation direction and relevant policies and strategic deployment for the research of agricultural ecological development in the future.