This paper is published in Volume-4, Issue-3, 2018
Area
Big Data
Author
Patel Jaydeep Pravinbhai
Co-authors
Ashutosh Abhangi
Org/Univ
Noble Engineering College, Junagadh, Gujarat, India
Pub. Date
05 May, 2018
Paper ID
V4I3-1183
Publisher
Keywords
Big data, Prediction system, Spark, E-agriculture.

Citationsacebook

IEEE
Patel Jaydeep Pravinbhai, Ashutosh Abhangi. Big data: An analytic architecture and prediction using spark for E-agriculture, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Patel Jaydeep Pravinbhai, Ashutosh Abhangi (2018). Big data: An analytic architecture and prediction using spark for E-agriculture. International Journal of Advance Research, Ideas and Innovations in Technology, 4(3) www.IJARIIT.com.

MLA
Patel Jaydeep Pravinbhai, Ashutosh Abhangi. "Big data: An analytic architecture and prediction using spark for E-agriculture." International Journal of Advance Research, Ideas and Innovations in Technology 4.3 (2018). www.IJARIIT.com.

Abstract

Nowadays Big Data has a key role in E-Agriculture. Previous technologies have some limitations so Big Data is very useful for E-Agriculture because agriculture has very large structure and unstructured data. Moreover, big data analytics can be used to increase and improve the productivity of agricultural. The main aim of this paper is to propose an open source, economical, ideal and flexible big data analytics architecture for E-Agriculture. In the implementation, an analytic framework for big data application development is built and implemented. Also, a prototype application prediction base for agriculture in spark framework. Based on the agriculture prediction model various recommendations can be provided to agro users.
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