Abstract
Agriculture is one of the most important sectors in the world. Agricultural productivity is important for a country’s economy. Big Data technology has been successfully used to solve problems from several sectors such as health, finance, and energy for mention a few. In agriculture, Big data is being used for making better decisions and improving productivity. The increasing interest of Big Data technology in agriculture calls for a clear review. The objective of this review is to collect all relevant research on Big Data technology in agriculture to detect current research topics, benefits of Big Data in Agriculture, Big Data sources, algorithms, approaches, and techniques used. We have extracted 18 primary studies from scientific repositories published between 2017 and 2019. The results show that 67% of the studies are dominated by Indian and China research community. The results also show that half of the studies are focused on crop quality and productivity.
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