Oral Presentation , Page 238-244 (7)

Volume Title: 2nd IEEE International Conference on Electronic Eng., Faculty of Electronic Eng., Menouf, Egypt, 3-4 July. 2021

¹Ebtsam Hamdy Elsahlamy ; ²Abeer Eshra; ³Nadia Eshra; ⁴Nawal El-Fishway

¹Mansoura university

²Computer Science and Engineering Faculty of Electronic Engineering Menouf, Egypt

³Hydropower Unit, Nile Research Institute, National Water Research Center

⁴Department of Computer Science and Engineering, Faculty of Electronic Engineering, Menoufia University Menouf, Egypt

In the past few decades, the use of geographic information systems (GIS) was efficient with servers that could handle the amount of data used. However, as geographical big data grows and complexity, storing, managing, processing, analyzing, visualizing, and confirming data quality becomes more difficult. Academia, industry, government, and other institutions are increasingly interested in this information. It's known as Big Data. Since that kind of data recently became massive, there was a need to develop methods to deal with big data and analyze it to keep pace with development. In this paper, we review the previous studies that involve both Big Data and GIS in different applications. Moreover, we focus on the field of agriculture, which is considered one of the most important sources of the economy. Produced results in this research area help decision-makers to make sound executive steps to reach better production.

Big-Data; Geospatial; Agriculture; map-reduce