In this poster, we present how to employ Hadoop System including HDFS and MapReduce to analyze the precipitation data to find good places for farming. The precipitation data are collected from National Oceanic and Atmospheric Administration (NOAA) and some formulas form Food and Agriculture Organization of the United Nations (FAO) to help to find places which have good precipitation for specific plant. In order to address this, we employ Hadoop Distributed File System (HDFS) and MapReduce programming with banana as an example. Combining the weather data with the precipitation data, we can figure out the places which are good for banana grows. The implemented system uses two MR programs and Google Earth to implement the visualization
