Abstract: An application of Fuzzy Cluster Analysis to dryland farming partition based on six kind of characters of twelve region samples collected in Guangdong province was conducted and is reported in this paper. The result indicated that Fuzzy Cluster Analysis used in dryland farming partition reflected the real situation and is better than present methods of dryland farming partition. It may be used in the practice of farming system classification and to determing the weights of indexes in the evaluation of farming system. This is a significant attempt in the quantitative research of dryland farming partition.