Abstract: In recent 20 years, with the progress of internet technology, the development of e-commerce in agriculture-related industries in our country has been developing rapidly. The government also attaches great importance to developing e-commerce involving agriculture. Research on agriculture-related e-commerce has become an important topic in the field of e-commerce and "three rural" research. However, the research results on agriculture-related e-commerce in our country are relatively scattered in theme, the traditional research methods, and the lack of organic connection between the conclusions of the research, which makes it difficult to form a unified and effective research framework for agricultural-related e-commerce. Based on 114 agricultural-related e-commerce papers extracted from CSSCI journals, this paper employs the methods of bibliometric analysis, content analysis, frequent item mining of keywords, and network visualization methods to review and statistical analysis from the theoretical basis, research methods, and key words Level. The research results show that the related theories in fields such as information system, economics, marketing, and psychology are comprehensively used in the research of agricultural-related e-commerce. The research methods mainly used in research of agricultural-related e-commerce are non-empirical and qualitative research, but second-hand data research, data modeling, quantitative development methods such as quantitative research methods are gradually introduced. The interrelationships and evolutionary trends of keywords are determined through frequent item mining and visual analysis of keywords in literatures. On this basis, we carry out a more in-depth analysis from the three aspects of agricultural e-commerce, rural e-commerce, and agricultural products e-commerce, thus providing some beneficial enlightenments for further research and understanding on e-commerce related to agriculture.