A Microservices-based Framework for Scalable Data Analysis in Agriculture with IoT Integration

Authors

DOI:

https://doi.org/10.3991/ijim.v17i19.40457

Keywords:

Microservices, Data Analysis, Agriculture, IoT, Scalable Framework

Abstract


We propose a microservices-based framework for scalable data analysis in agriculture with IoT integration, leveraging the flexibility and modularity of microservices architecture to build a highly adaptable, maintainable, and efficient data analysis system. This framework allows for faster data processing and carry a diversity of agricultural data analysis tasks while maintaining scalability and fault tolerance. Despite the potential benefits, several challenges and obstacles need to be addressed, such as data integration and standardization, the development of agricultural-specific analytical microservices, and ensuring data security and privacy. Practical application and real-world validation are required to assess the impact of the proposed framework on the agricultural sector and inform future research directions.

Author Biographies

Othmane Aitlmoudden

Othmane Aitlmoudden is a Ph.D. student at the Laboratory of Information Technologies and Modelling (LTIM), Department of Mathematics and Computer Science Faculty of Sciences Ben M’Sick-University HASSAN II, Casablanca, Morocco. His area of research focuses on applying Microservices in the Agricultural System.

Mohamed Housni, Laboratory of information technologies and modeling (LTIM), Faculty of Sciences Ben M'Sick, University HASSAN II of Casablanca, Morocco

Mohamed HOUSNI is a Mathematics and Computer Science teacher at the Ministry of National Education in Morrocco, Regional Academy of Education and Training Casablanca-Settat (AREF Casa-Settat). He is a member of the Laboratory of Information Technologies and Modelling (LTIM), Department of Mathematics and Computer Science Faculty of Sciences Ben M’Sick-University HASSAN II, Casablanca, Morocco. His area of research focuses on applying Data Analytics in the Moroccan Educational System.

Nisrine Safeh

Nisrine Safeh is a Ph.D. student at the Laboratory of Information Technologies and Modelling (LTIM), Department of Mathematics and Computer Science Faculty of Sciences Ben M’Sick-University HASSAN II, Casablanca, Morocco. Her area of research focuses on applying Transformative technology in the training System.

Abdelwahed Namir

Abdelwahed Namir is a Computer Sciences Professor at the Laboratory of Information Technologies and Modelling (LTIM), Department of Mathematics and Computer Science Faculty of Sciences Ben M’Sick-University HASSAN II, Casablanca, Morocco. His area of research focuses on applying Mathematics and Computer Sciences Technologies in various Systems to enhance its efficiency and effectiveness. 

Cover iJIM – Vol 17, No 19, 2023

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Published

2023-10-10

How to Cite

Aitlmoudden, O., Housni, M., Safeh, N., & Namir, A. (2023). A Microservices-based Framework for Scalable Data Analysis in Agriculture with IoT Integration. International Journal of Interactive Mobile Technologies (iJIM), 17(19), pp. 147–156. https://doi.org/10.3991/ijim.v17i19.40457

Issue

Vol. 17 No. 19 (2023)

Section

Papers

License

Copyright (c) 2023 Othmane AITLMOUDDEN, Mohamed HOUSNI, Nisrine SAFEH, Abdelwahed NAMIR

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