Abstract
Abstract. In recent years, the rapid advancement of technology and the increasing demand for efficient agricultural practices have propelled significant progress in the field of intelligent agricultural mechanization. This paper aims to comprehensively explore this important topic by analyzing the key role of intelligent agricultural mechanization in modern agriculture, examining its technological applications, and identifying prevailing challenges. Intelligent agricultural mechanization involves the integration of cutting-edge technologies such as artificial intelligence, machine learning, and the Internet of Things (IoT) into agricultural machinery and processes, revolutionizing traditional farming methods. Through an in-depth study of relevant literature, it elucidates how intelligent agricultural mechanization can significantly enhance agricultural production efficiency by minimizing resource waste, reducing labor costs, and increasing crop yields. Furthermore, the paper explores the broader implications of these advancements for sustainable development. The research results presented herein seek to provide robust theoretical support and practical guidance for advancing agricultural modernization. In this paper, future development trends are also discussed, including the potential for further innovations and the role of policy and regulatory frameworks in facilitating the adoption of intelligent agricultural mechanization.
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