The growth environment for agricultural science and technology talents is an important support for promoting rural revitalization.Based on the inter-provincial panel data from 2011-2021，the evaluation index system of the growth environment of agricultural science and technology talents is constructed.The “VHSD-EM”evaluation model and Moran index are used to analyze the spatial and temporal characteristics and evolutionary patterns of the growth environment for agricultural science and technology talents in 31 provinces （cities，autonomous prefectures） in China.Furthermore，the spatial Dubin model is employed to identify its influencing factors.The study found that over the past decade，the development of the growth environment for agricultural science and technology talents in China has been divided into three stages.From 2011 to 2017，it showed a slow upward trend，followed by a “V”-shaped development trend from 2017 to 2019，and a rapid development trend from 2019 to 2021.The growth environment for agricultural science and technology talents in China presents a distribution pattern of “Eastern>Central>Northeastern>Western”，with the eastern region having the most favorable development，followed by the central region，the northeastern region ranking third，and the western region lagging behind others.The overall spatial agglomeration of growth environment for agricultural science and technology talents in China is dominated by two types：“high-high” and “low-low”.The agglomeration effect in the eastern region is significantly higher than the the other three regions，followed by the western region，while the central and northeastern regions have the weakest agglomeration effect.The growth environment for agricultural science and technology talents in China is spatially correlated and exhibits spillover effects through factors such as infrastructure，economic conditions，policies and regulations，and educational and cultural factors.To improve the growth environment for agricultural science and technology talents，we should start with policy support，talent training mode and regional resource allocation.