Transforming Agriculture with High Performance Computing: Sustainable Smart Farming – An Experimental Study

Agricultural sector is undergoing a significant transformation to address the growing global demand for food while ensuring sustainability and minimizing environmental impact. Traditional farming methods, which rely heavily on manual processes and offer limited data insights, are increasingly inadequate for managing the complexities of modern agricultural needs. To overcome these challenges, the integration of advanced computing technologies specifically cloud, edge, and fog computing has emerged as a transformative solution in smart farming. This paper provides a comprehensive literature review on the role of these technologies in agriculture, focusing on their applications, benefits, challenges, and future directions. A proposed framework for integrating IoT, edge, fog, and cloud computing is presented, aiming to enhance productivity, resource efficiency, and environmental sustainability. The framework is evaluated through a case study conducted in the Maregaon District of Yavatmal (Maharashtra), demonstrating significant improvements in crop yields, resource utilization, and decision-making capabilities. The results highlight an accuracy of 95% in data collection and processing, a 20% increase in crop yields, and a 30% reduction in water usage. These findings underscore the potential of these technologies to revolutionize agriculture, ensuring food security and environmental sustainability in the face of growing global challenges.

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Publication Details

Journal
Premier journal of science.
Published
2026-01-07
DOI
https://doi.org/10.70389/pjs.100191
Primary Topic
Smart Agriculture and AI
Type
article
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article

Transforming Agriculture with High Performance Computing: Sustainable Smart Farming – An Experimental Study

Tukaram K. Gawali, Gajanan M. Malwatkar, Pravin J. Turare
Premier journal of science.
Smart Agriculture and AI
article

Transforming Agriculture with High Performance Computing: Sustainable Smart Farming – An Experimental Study

Tukaram K. Gawali, Gajanan M. Malwatkar, Pravin J. Turare
article en

Abstract

Agricultural sector is undergoing a significant transformation to address the growing global demand for food while ensuring sustainability and minimizing environmental impact. Traditional farming methods, which rely heavily on manual processes and offer limited data insights, are increasingly inadequate for managing the complexities of modern agricultural needs. To overcome these challenges, the integration of advanced computing technologies specifically cloud, edge, and fog computing has emerged as a transformative solution in smart farming. This paper provides a comprehensive literature review on the role of these technologies in agriculture, focusing on their applications, benefits, challenges, and future directions. A proposed framework for integrating IoT, edge, fog, and cloud computing is presented, aiming to enhance productivity, resource efficiency, and environmental sustainability. The framework is evaluated through a case study conducted in the Maregaon District of Yavatmal (Maharashtra), demonstrating significant improvements in crop yields, resource utilization, and decision-making capabilities. The results highlight an accuracy of 95% in data collection and processing, a 20% increase in crop yields, and a 30% reduction in water usage. These findings underscore the potential of these technologies to revolutionize agriculture, ensuring food security and environmental sustainability in the face of growing global challenges.

Premier journal of science.
Institute for Biological Instrumentation (RU)
Zero hunger
Openalex Percentile: Top 91%
Smart Agriculture and AI
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