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Volume 3,Issue 9

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26 October 2025

Driving Factors, Core Challenges and Management Path of Smart Agriculture

Xiangzhi Kong*
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1 Tianjin Agricultural University, Tianjin 300392, China
LNE 2025 , 3(9), 49–54; https://doi.org/10.18063/LNE.v3i9.936
© 2025 by the Author. Licensee Whioce Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract

Global agriculture stands at a historic crossroads. Traditional agricultural production models have become unsustainable under multiple pressures, including continuous population growth, tightening resource constraints, and intensifying climate change. Technologies emblematic of the Fourth Industrial Revolution, such as the Internet of Things, big data, artificial intelligence, and robotics, are reshaping agriculture with unprecedented force, giving rise to a new paradigm centered on “smart agriculture.” From a management perspective, this paper systematically explores the core drivers of smart agriculture development, thoroughly analyzes its technological architecture and operational models, and focuses on the critical challenges encountered in areas such as technology integration, economic costs, data governance, human resources, and institutional environments. Finally, it proposes a comprehensive management and development pathway aimed at providing theoretical references and practical guidance for relevant stakeholders, including governments, agricultural enterprises, and farmers, to advance the robust, efficient, and sustainable development of smart agriculture.

Keywords
Smart agriculture
Precision agriculture
Agricultural management
Digital transformation
Sustainable development
References

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