Year: 2025
Type: article
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.
Author: Abhinay Sama
Institution: Indian Institute of Technology Madras
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: hybrid
OpenAlex ID: W4410867985