Abstract: The kernel density function is used to analyze the spatio-temporal differences of land-saving and labor-saving agricultural techniques’ input in China’s grain production from 2002 to 2016. And multiple linear regression method is used to analyze the influencing factors. The results show that: (1)The input of agricultural techniques in China’s grain production increased year by year. Among them, the input of land-saving techniques  have increased relatively smoothly, while the input in labor-saving techniques have increased substantially. (2)Provinces with higher input of land-saving techniques are concentrated in North China, while distributed in southern regions with low value. High-value areas of labor-saving techniques are mainly in the north of China, with Northeast being the highest, and provinces in the southwest being lower; the growth rate of the labor-saving techniques investment is higher than the land saving type.(3)The spatial differences in the input of land-saving techniques are decreasing, while the spatial differences in the input of labor-saving techniques are significantly increasing. (4)The input of both types of techniques is significantly affected by the scale of cultivated land, labor transfer rate. At the same time, the input of land-saving techniques is easily affected by the proportion of planting industry, while the input of labor-saving techniques is greatly affected by the quality of labor and the income gap between urban and rural areas. Differentiated agricultural development policies should be implemented to increase the utility level of input of techniques and promote the overall growth of agricultural productivity.