Abstract: Agriculture is a typical contributor to the Egyptian economy, which could benefit from the comprehensive capabilities of Big Data (BD). In this work, we review the BD role in the agriculture sector in responding to two main questions: 1) Which technique, frameworks and data types were adopted. 2) Identification of the existing gap associated with the data sources, modeling, and analysis techniques. Therefore, the contribution in this paper can be outlined in three main aspects. 1) Popular BD frameworks were briefed, and a thorough comparison was conducted between them. 2) The potential data sources were described and characterized. 3) A Conceptual framework for Egyptian agriculture practice based on BD analytics was introduced. 4) Challenges and extensive recommendations have been provided, which could guide future development.

Sayed Ahmed, Amira S. Mahmoud, Eslam Farg, Amany M. Mohamed, Marwa S. Moustafa, Mohamed A. E. AbdelRahman, Hisham M. AbdelSalam and Sayed M. Arafat, “A Conceptual Framework for using Big Data in Egyptian Agriculture” International Journal of Advanced Computer Science and Applications(IJACSA), 13(3), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130322

@article{Ahmed2022,
title = {A Conceptual Framework for using Big Data in Egyptian Agriculture},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130322},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130322},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {3},
author = {Sayed Ahmed and Amira S. Mahmoud and Eslam Farg and Amany M. Mohamed and Marwa S. Moustafa and Mohamed A. E. AbdelRahman and Hisham M. AbdelSalam and Sayed M. Arafat}
}