Climate Changes and Agricultural Production: A Big Data Analysis Approach

• Activity Number: 552
• Type: Contributed
• Date/Time: Wednesday, August 12, 2015 : 10:30 AM to 12:20 PM
• Sponsor: Section on Statistical Learning and Data Mining
• Author(s): Hsi-Guang Sung* and Elva Chen
• Companies: Microsoft and Santa Clara Univeristy
• Keywords: data mining ; big data ; climate changes

Abstract

For the last one hundred years, the rate of global warming over the last fifty years was almost double that for the period as a whole. Climate changes affect the crop growth in ecological, biophysical and economic systems. There was little awareness how the changes of solar radiation, temperature, precipitation and water resources might affect the longer-term agricultural production. This paper examines large data sets containing a variety of climate and agricultural data to uncover hidden patterns between climate changes and agricultural production. The data is analyzed using data mining and statistical learning to present the challenges of producing food on a warming planet.