[Objective] Most of the food crops are low in zinc and it is difficult for humans to obtain sufficient zinc through the normal diet. Land quality geochemical survey, as Nature-based solutions, is the best scheme to find the suitable region for cultivating zinc-rich crops.[Methods] This study takes agricultural land in Wei Ning Plain of Ningxia as the research region, geochemical data of surface soils, wheat seeds and rhizosphere soils of agricultural lands were obtained through land quality geochemical survey, the geochemical characteristics of zinc in surface soil and wheat seed were studied, and the influencing factors of zinc enrichment in wheat seed were explored. The interval value of zinc content in zinc-rich wheat was calculated based on the nutritional structure of healthy diet in China and the reference intake of dietary nutrients in residents.[Results] In the research region, the range of zinc content in surface soils was 25.1 mg?kg-1 to 102.0 mg?kg-1, and the background value of surface soil was 61.4 mg?kg-1. The range of zinc content in wheat seeds was 13.34 mg?kg-1 to 37.78 mg?kg-1, the average content was 24.72 mg?kg-1, and the average bio-enrichment coefficient was 0.41. The range of zinc content in Zn-enriched wheat was 26.5 to 50.0 mg?kg-1, and the proportion of zinc enriched wheat seeds in the research region was 36.7%. Based on the neural network model, we predicted that the region of agricultural lands, which were suitable for cultivating zinc enriched wheat in Wei Ning Plain, was 242.86km2.[Conclusions] The spatial distribution of zinc in the surface soil of the research region was relatively uniform and was mainly controlled by soil parent materials. The zinc enrichment ability of wheat seeds was medium. The zinc enrichment ability of wheat seeds is significantly correlated with Zn, Fe2O3, K2O, SiO2/Al2O3 in rhizosphere soils. Neural network model can construct a reliable prediction model, which can be used as a method to explore suitable cultivating regions for beneficial micronutrient enrichment crops through geochemical survey data.