Abstract: Agricultural land classification and extraction plays an important role in agricultural informatization, it is an important basis for further crop yield estimation. Firstly, this paper reviews the research progress of agricultural land classification algorithms based on remote sensing images at home and abroad from the time dimension, and further summarizes the problems faced by the current agricultural remote sensing image classification algorithms, and prospects the potential development direction in the field. This paper has a certain reference significance for the research on the development of agricultural remote sensing image classification algorithm and the related researchers to grasp the field dynamics.