In this paper, we use Python to retrieve and capture the text of “red agricultural culture” from five major websites such as China Agricultural Society and China Agricultural and Rural Market Information, and obtain the network text. Using word frequency statistics, social network analysis, and other methods, analyze the obtained network text and obtain the high-frequency keywords related to red agricultural culture. Based on this, a digital resource base for red agricultural culture on the web has been constructed. Integrating the red agricultural culture resources into art and aesthetic education, among the 75 high-frequency words obtained, the largest number is nouns, and the frequency of “education” is high. “Resources”, “agricultural products” and “education” have become the main directions of “red agricultural culture development.” 62.3% of the art teachers strongly approve of the development and utilization of the red agricultural cultural resource base. Based on the above analytical structure, specific measures, such as digging deeper into red agricultural culture resources and innovating the aesthetic education curriculum system, are proposed to realize the integration path.