Abstract: The green food industry has developed vigorously in recent years. Properly choosing green food production areas through environmental quality surveys and assessments can ensure the quality of green food and generate significant economic, social, and ecological benefits. China has obtained vast amounts of high-quality geochemical data by implementing a series of geochemical survey programs. However, there is a lack of software platforms that can translate these scientific data into a language that is easily understandable and usable by the public. To address this issue, this study conducted a systematic investigation and assessment of green land at the village and plot scale in Yongqing County. A total of 822 topsoil and deep soil samples were collected from 386 administrative villages and four agricultural science and technology industrial parks in Yongqing County. Based on these soil samples, 54 elements and indicators were analyzed, focusing on nutrient elements like nitrogen, phosphorus, and potassium closely associated with green food production areas, eight hazardous heavy metals including copper, lead, zinc, nickel, chromium, cadmium, arsenic, and mercury, and health-related elements like selenium, germanium, fluorine, and iodine. The land in the Yongqing area was categorized and rated to comprehensively analyze the distribution of the elements and systematically assess and utilize the land. Finally, unique QR codes were generated for various land plots. The survey results indicate that the Yongqing area, one of the cleanest contiguous land areas in the Beijing-Tianjin-Hebei region, holds a solid foundation for vigorously developing the green food industry. The QR code identification technology can serve the protection and utilization of green land and farmers' production and income increase. This technology assists in establishing an accurate zoning and grading system based on geochemical characteristics for the study area. The system further facilitates the formulation of targeted ecosystem conservation measures characterized by specialized strategies for specific locations, achieving precise management and efficient control of ecosystems. Moreover, based on the Chemical Earth big data platform, the first geochemical spatial big data platform for green industries can be constructed to create the database of green land in Yongqing County and generate QR codes for visual land identification, thereby facilitating the government's management, enterprises' farming and sales, and consumers' inquiries. This technology is expected to generate significant economic and social benefits in the future.