A Study of Big Data Application in Agriculture

Abstract

Agricultural data is typically characterized by at least 3 characteristics: massive data volume, various data sources, and complex structure. With the popularization of next-generation information technology, precision agriculture has become an emergent development direction in agricultural informatization. This paper proposed a big data application framework for precision agriculture. The model includes data sources, data integration, and data analytics. Use of big data application provides better guidance for precision agricultural.