Studying the influence of agricultural type transformation on agro-ecosystem services and human well-being in urbanizing area has great significance on controlling urban agriculture development, maintaining agro-ecosystem services, and improving the well-being of farmers.Taking two villages of Majia and Huojian on behalf of two agricultural transformation model in the Xi'an metropolitan area as an example, we have measured the value of human well-being and agro-ecosystem services by household surveys data, and further analyzed their interaction in different transformation models. From 2000 to 2017, ecosystem-services value of the grain-farming Majia village decreased from 141.88×10⁴ yuan to 117.58×10⁴ yuan (by 17.13% decrease), whilst the vegetable-planting Huojian village saw an increase from 727.23×10⁴ yuan to 1753.23×10⁴ yuan (by 141.08% increase). These changes primarily resulted from the alteration of agricultural labor number, farmer behavior and agricultural types. Additionally, we observed an obvious gap of human well-being value between two agricultural transformation models, that had 89% higher in Huojian village than that in Majia village. Specifically, agricultural pure income had significantly impact on change of the human well-being. Therefore, transformation from traditional grain planting to modern urban agriculture could improve human well-being. The degree of correlation between ecosystem services and human well-being differed among agricultural transformation models, but in these two models the human well-being values were positively related to the provisioning of agricultural products, and negatively related to agricultural net income. In Majia village, less attention was paid to the ecological environment, but Huojian village have begun to improve the awareness of the environment, such as water quality. Generally, the value of ecosystem services and farmer well-being are significantly correlated with agriculture types. Therefore, government policies can guide the design of agricultural types to optimize landscape patterns, allowing for the maintenance of sustainable development of agricultural ecosystem services.