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Analysis Precipitation to Seek a Good Place for Farm

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dc.contributor.author Yang, Yawei
dc.contributor.author Mao, Sereyvut
dc.contributor.author Zhou, Jie
dc.contributor.author Lee, Jeongkyu
dc.date.accessioned 2015-04-23T13:49:34Z
dc.date.available 2015-04-23T13:49:34Z
dc.date.issued 2015-03-27
dc.identifier.uri https://scholarworks.bridgeport.edu/xmlui/handle/123456789/1157
dc.description.abstract 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. en_US
dc.language.iso en_US en_US
dc.subject Big data en_US
dc.subject MapReduce en_US
dc.subject Farming en_US
dc.subject Weather data en_US
dc.subject Precipitation data en_US
dc.title Analysis Precipitation to Seek a Good Place for Farm en_US
dc.type Presentation en_US
dc.institute.department School of Engineering en_US
dc.institute.name University of Bridgeport en_US
dc.event.location Bridgeport, CT en_US
dc.event.name Faculty Research Day en_US

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