Abstract

Abstract The rural agricultural ecosystem has an important influence on the development of our country’s economy, society and ecological environment at any time. In recent years, our country has paid more and more attention to rural agriculture, and scientific and reasonable management of the agricultural ecosystem is a problem that everyone is more concerned about. In order to solve the management problem of rural agro-ecosystem, this article uses big data as the research background and constructs an ecological management system index system for rural agro-ecosystem based on complex system theory. The experiment uses fertilizer consumption, water pollution degree, pest degree, carbon and nitrogen absorption and agricultural economic benefits in a rural agricultural ecosystem in a certain area as the system indicators of the ecological management system. Use data mining technology in big data to collect and process relevant data in the network, analyze and understand the agricultural ecosystem through complex systems, and finally calculate and analyze the data of various indicators. The final result showed that the consumption of fertilizer in the rural area with the introduction of the agricultural ecological management system was 70 kg/m 2 less than that in another rural area, and the water pollution and insect pests were two degrees lower than the other rural area. From 2019 to 2020, due to the introduction of the agricultural ecological management system, the carbon absorption of the agricultural ecosystem increased to 166 mt and 241 mt, and the nitrogen absorption increased to 1134 mt and 1430 mt. And under the influence of the agricultural ecological management system in this area, the total agricultural economic income of rural D and rural E that introduced the system was 12.51 million, which was 1.98 million more than the other three rural areas. It can be seen that the agricultural ecological management system has a positive effect on the rural agricultural ecological system.

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