Impact of Agricultural Big Data Analysis on Urban Development

Abstract

As an emerging technological approach, agricultural big data analysis provides new possibilities for urban development. This paper systematically elaborates on the applications of agricultural big data analysis in optimizing urban development, improving resource utilization, and enhancing urban environmental sustainability. It explores the impact of agricultural big data analysis on urban development. The paper describes the current state of agricultural big data analysis in Jiaozuo City in detail and, through detailed case studies, such as using the support vector machine (SVM) model to optimize irrigation water, the results indicate a reduction of 34.75 m3/ha in total water consumption and an average reduction of 5.79 m3/ha per sample. By calculating the optimal path of the agricultural product supply chain using the ant colony algorithm, the shortest and longest distribution paths of the agricultural product supply chain planned in this paper differ by 200%. The research shows that agricultural big data analysis significantly optimizes resource allocation, promotes the coordinated development of cities and agriculture, ensures the safety of urban resources such as food, and supports the sustainable development of cities. Finally, suggestions are made for further exploration in this field by the government, enterprises, and research institutions. The development of this technology can provide innovative solutions for urban development.