Optimizing Agricultural Efficiency: A Fusion Of Iot, AI, Cloud Computing, And Wireless Sensor Network

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Mr. Utkarsh A. Avalekar
Dr. Jaydeep B. Patil
Dr. Sangram T. Patil
Prof. (Dr.) Jayendra A. Khot
Prof. (Dr.) K. Prathapan

Abstract

he agricultural sector, a cornerstone of global sustenance, is witnessing a transformative revolution propelled by the integration of Internet of Things (IoT) and Artificial Intelligence (AI) into Smart Farming Systems. This abstract provides a concise overview of the comprehensive review exploring the synergies of these technologies, further fortified by the capabilities of Cloud Computing and Wireless Sensor Networks. As traditional farming practices grapple with challenges, this innovative approach promises precision, sustainability, and efficiency in agriculture. The proposed Smart Farming System architecture is dissected, unraveling the interconnected modules that form its core. Beginning with the Wireless Sensor Network (WSN) module as the data gathering foundation, the system flows seamlessly through Data Processing and Edge Computing, Cloud Computing, AI and Machine Learning, IoT Integration, and User Interface and Control modules. Each element plays a pivotal role in enabling precision farming practices and fostering a data-driven agricultural ecosystem. The research objectives and hypotheses propel the proposed system’s potential impact into focus. Objectives centered on improving crop quality, optimizing crop yields, implementing weather-responsive farming strategies, and developing AI-based crop rotation approaches set the stage for a comprehensive examination. Hypotheses posit the transformative effects of AI-guided quality control, data-driven decision-making, real-time weather data integration, and AI-based crop rotation strategies. The convergence of IoT and AI, fortified by Cloud Computing and Wireless Sensor Networks, signifies a paradigm shift in modern agriculture. This transformative approach promises not just smart agriculture but a future where environmental consciousness, resilience, and efficiency define agricultural practices. As technological advancements continue to unfold, this integrated approach stands as a beacon of innovation, heralding a new era of precision farming and sustainable agricultural practices.

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How to Cite
Mr. Utkarsh A. Avalekar, Dr. Jaydeep B. Patil, Dr. Sangram T. Patil, Prof. (Dr.) Jayendra A. Khot, & Prof. (Dr.) K. Prathapan. (2024). Optimizing Agricultural Efficiency: A Fusion Of Iot, AI, Cloud Computing, And Wireless Sensor Network. Educational Administration: Theory and Practice, 30(5), 10539–10550. https://doi.org/10.53555/kuey.v30i5.4782
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Articles
Author Biographies

Mr. Utkarsh A. Avalekar

Ph.D. Scholar, Department of Computer Science & Engineering, D. Y. Patil Agriculture & Technical University, Talsande, MH, India.

Dr. Jaydeep B. Patil

Ph.D. Guide & Associate Professor, Department of Computer Science & Engineering, D. Y. Patil Agriculture & Technical University, Talsande, MH, India

Dr. Sangram T. Patil

Associate Dean, Department of Computer Science & Engineering, D. Y. Patil Agriculture &  Technical University, Talsande, MH, India.

Prof. (Dr.) Jayendra A. Khot

Registrar, D. Y. Patil Agriculture & Technical University, Talsande, MH, India

Prof. (Dr.) K. Prathapan

Vice-Chancellor, D. Y. Patil Agriculture & Technical University, Talsande, MH, India

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