Cloud-powered farming for global agricultural resilience

Cloud-powered farming presents a revolutionary approach to addressing global agricultural challenges through comprehensive data integration and analysis. By connecting farming communities worldwide, this framework enables the democratization of agricultural knowledge, creating unprecedented opportunities for collaboration, resource optimization, and sustainability. The proposed farming cloud serves as both a repository and analytical engine, aggregating multi-dimensional agricultural information from diverse sources while respecting data ownership and privacy concerns. Through machine learning techniques and advanced analytics, this platform transforms fragmented data into actionable insights, enabling farmers to make informed decisions based on environmental conditions, cultivation practices, and market trends. Despite significant implementation challenges including data standardization, connectivity limitations, and privacy concerns, a phased deployment strategy offers a viable pathway toward a transformative agricultural intelligence ecosystem that benefits producers across diverse geographic and socioeconomic contexts.

Authors

Publication Details

Journal
World Journal of Advanced Research and Reviews
Published
2025-05-29
DOI
https://doi.org/10.30574/wjarr.2025.26.2.1999
Primary Topic
IoT Networks and Protocols
Type
article
Field-Weighted Citation Impact
0.00
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article

Cloud-powered farming for global agricultural resilience

A. Sama
World Journal of Advanced Research and Reviews
IoT Networks and Protocols
article

Cloud-powered farming for global agricultural resilience

A. Sama
article en

Abstract

Cloud-powered farming presents a revolutionary approach to addressing global agricultural challenges through comprehensive data integration and analysis. By connecting farming communities worldwide, this framework enables the democratization of agricultural knowledge, creating unprecedented opportunities for collaboration, resource optimization, and sustainability. The proposed farming cloud serves as both a repository and analytical engine, aggregating multi-dimensional agricultural information from diverse sources while respecting data ownership and privacy concerns. Through machine learning techniques and advanced analytics, this platform transforms fragmented data into actionable insights, enabling farmers to make informed decisions based on environmental conditions, cultivation practices, and market trends. Despite significant implementation challenges including data standardization, connectivity limitations, and privacy concerns, a phased deployment strategy offers a viable pathway toward a transformative agricultural intelligence ecosystem that benefits producers across diverse geographic and socioeconomic contexts.

World Journal of Advanced Research and ReviewsVol. 26(2)
Openalex Percentile: Top 90%
IoT Networks and Protocols
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