Agriculture price data from vertical search engines are collected from various agricultural sites. Due to various factors, there are a large number of abnormal data. Since the characteristics of these agriculture price data make traditional methods of detecting abnormal data not work well, this paper presents a new method of detecting abnormal data. Practical applications show that this method can achieve good results.