Architecting Reliable Data Systems for Smart Agriculture: A Big Data and SRE Perspective

Bharath Nagamalla

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2025, vol. 11, issue 1, 556-563

Abstract: This article explores the transformation of agricultural systems through the integration of Big Data analytics and Site Reliability Engineering (SRE) practices, focusing on the development of robust and reliable data systems for smart agriculture. The article examines the evolution from traditional farming methods to data-driven precision agriculture, highlighting the critical role of IoT sensor networks, real-time analytics, and automated decision support systems. The article investigates the infrastructure requirements, challenges, and solutions in implementing reliable agricultural technology systems, including data collection mechanisms, processing architectures, and rural connectivity solutions. It addresses the importance of SRE practices in maintaining system reliability, incident response, and disaster recovery strategies while examining the implementation of predictive modeling and machine learning applications for crop management. The article also analyzes technical challenges in rural environments, data quality validation, system redundancy, and scalability requirements during peak agricultural seasons. Furthermore, it explores emerging trends and best practices in agricultural technology, emphasizing the importance of sustainable practices and cross-functional team structures in modern farming operations.

Keywords: Smart Agriculture; Site Reliability Engineering (SRE); Big Data Analytics; IoT Sensor Networks; Precision Farming (search for similar items in EconPapers)
Date: 2025
Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT25111253
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ijsrcseit.com/home/article/view/CSEIT25111253 Article URL (text/html)
https://ijsrcseit.com/home/article/download/CSEIT25111253/CSEIT25111253 Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:jbh:ijsrcs:v11:y2025:i1:id:710

DOI: 10.32628/CSEIT25111253

Access Statistics for this article

More articles in International Journal of Scientific Research in Computer Science, Engineering and Information Technology from International Journal of Scientific Research in Computer Science, Engineering and Information Technology
Bibliographic data for series maintained by Pankaj Sharma ().