A prediction and modeling method for dynamic contact angle of spraying agricultural drop on cucumber leaf surface based on image data collected was presented with combination of time series analysis and applying spatial trends theory. The dynamic contact angle θ of different mass fraction of glyphosate additives (EF8108-B) aqueous solution range from 16.08% to 82.14% on the cucumber leaf surface were measured by applying high-speed digital camera technology. Experimental results showed that the contact angle declined rapidly within the first 2 s, and then decreased slowly and gradually to reach its stabilized in the following 8 s. The contact angle didn’t show increase of a downward trend with increasing EF8108-B solution concentration. The self-relevant and self-regression model (AR(2)), the mobile average model (MA(3)) and exponential smoothing model (ES(6)) were established according to time series analysis, respectively. Moreover, the spatial distribution of spreading diameter, drop height, drop area and drop volume were simulated by applying trend surface theory, then the 3-D dynamic contact angle trend surface model were constructed. The numerical simulation and experimental verification results indicated that the goodness of fit was up to 94.72%.