The convergence of big data and SRE in modern agriculture: Transforming farming through technology

This article examines the transformative integration of Big Data analytics and Site Reliability Engineering (SRE) principles in modern agriculture. The article explores how precision agriculture leverages advanced technologies including IoT sensors, drone surveillance, and satellite imagery, to revolutionize traditional farming practices. It analyzes the implementation of sophisticated data collection infrastructures, Big Data systems, and SRE practices in agricultural settings. The article investigates the operational benefits and sustainability implications of these technological integrations, highlighting improvements in resource optimization, yield enhancement, and environmental conservation. Furthermore, it discusses future perspectives in agricultural technology, including edge computing applications, AI-driven autonomous systems, blockchain integration, and climate change adaptation strategies.

Authors

Publication Details

Journal
International Journal of Science and Research Archive
Published
2025-01-22
DOI
https://doi.org/10.30574/ijsra.2025.14.1.0151
Citations
2
Primary Topic
Information Retrieval and Data Mining
Type
article
Field-Weighted Citation Impact
6.49
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article

The convergence of big data and SRE in modern agriculture: Transforming farming through technology

Bharath Nagamalla
2 citations
International Journal of Science and Research Archive
Information Retrieval and Data Mining
6.49
article

The convergence of big data and SRE in modern agriculture: Transforming farming through technology

Bharath Nagamalla
article en
2 citations

Abstract

This article examines the transformative integration of Big Data analytics and Site Reliability Engineering (SRE) principles in modern agriculture. The article explores how precision agriculture leverages advanced technologies including IoT sensors, drone surveillance, and satellite imagery, to revolutionize traditional farming practices. It analyzes the implementation of sophisticated data collection infrastructures, Big Data systems, and SRE practices in agricultural settings. The article investigates the operational benefits and sustainability implications of these technological integrations, highlighting improvements in resource optimization, yield enhancement, and environmental conservation. Furthermore, it discusses future perspectives in agricultural technology, including edge computing applications, AI-driven autonomous systems, blockchain integration, and climate change adaptation strategies.

International Journal of Science and Research ArchiveVol. 14(1)
Openalex Percentile: Top 5%
Information Retrieval and Data Mining
6.49
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