The wide spread of pro-pesticide in order to increase the yield of crops in Pakistan produces harmful effects on farmers as well as on economic, ecological and communal sector. This paper presents a new technique to analyze the agricultural data. This technique is based on visual data mining for gathering, organizing and examining the agricultural data. The main purpose of this technique is to put the cause of pesticide on human life. Chernoff faces are used to deduce the data in understandable form and the clustering of agricultural data is performed by Chernoff faces method. This paper explores the concept of multidimensional data. Experimental results have shown that by the use of multidimensional data display, integration and presentation have been enhanced