The Technological Revolution in Agriculture: Cloud Computing as the Backbone of Smart Farming

This comprehensive review examines the pivotal role of cloud computing in revolutionizing agricultural practices through the integration of Internet of Things (IoT) technologies, advanced weather prediction systems, artificial intelligence analytics, and robust cloud infrastructure. The article explores how smart farming implementations leverage interconnected sensor networks to create continuous data pipelines from field conditions to decision support systems, enabling precision resource management and improved crop yields. It analyzes the technical aspects of weather data integration that combines satellite observations with ground measurements to provide early detection of adverse conditions. The review further investigates how machine learning algorithms transform agricultural data into actionable insights for disease detection, yield prediction, and resource optimization. Finally, it addresses the challenges and solutions related to cloud infrastructure design, data integration, interoperability, and security concerns that influence the adoption of these technologies across diverse farming contexts.

Authors

Publication Details

Journal
Journal of Computer Science and Technology Studies
Published
2025-04-25
DOI
https://doi.org/10.32996/jcsts.2025.7.2.54
Citations
1
Primary Topic
Digitalization and Economic Development in Agriculture
Type
article
Field-Weighted Citation Impact
2.23
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Technological Revolution in Agriculture: Cloud Computing as the Backbone of Smart Farming

Anish Alex
1 citations
Journal of Computer Science and Technology Studies
Digitalization and Economic Development in Agriculture
2.23
article

The Technological Revolution in Agriculture: Cloud Computing as the Backbone of Smart Farming

Anish Alex
article en
1 citations

Abstract

This comprehensive review examines the pivotal role of cloud computing in revolutionizing agricultural practices through the integration of Internet of Things (IoT) technologies, advanced weather prediction systems, artificial intelligence analytics, and robust cloud infrastructure. The article explores how smart farming implementations leverage interconnected sensor networks to create continuous data pipelines from field conditions to decision support systems, enabling precision resource management and improved crop yields. It analyzes the technical aspects of weather data integration that combines satellite observations with ground measurements to provide early detection of adverse conditions. The review further investigates how machine learning algorithms transform agricultural data into actionable insights for disease detection, yield prediction, and resource optimization. Finally, it addresses the challenges and solutions related to cloud infrastructure design, data integration, interoperability, and security concerns that influence the adoption of these technologies across diverse farming contexts.

Journal of Computer Science and Technology StudiesVol. 7(2)
Openalex Percentile: Top 12%
Digitalization and Economic Development in Agriculture
2.23
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The Technological Revolution in Agriculture: Cloud Computing as the Backbone of Smart Farming — Anish Alex · Journal of Computer Science and Technology Studies (2025) | TGRS Research Map | TGRS