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控制工程期刊

《控制工程期刊》是一本关注控制工程领域最新进展的开源国际学术期刊。本刊采用开放获取模式,报道控制工程学科领域的最新科研成果,旨在反映学术前沿进展及水平,促进学术交流,为国内外该领域的学者、科研人员提供一个良好的交流平台,以推进控制工程理论、应用和技术的发展。本刊可接收中、英文稿件。但中文稿件要有详细的英文标题、作者、单位、摘要和关键词。初次投稿请按照稿件模板排版后在线投稿。录用稿件首先刊发在期刊网站上,然后由Ivy Publisher出版公司高质量…… 【更多】 《控制工程期刊》是一本关注控制工程领域最新进展的开源国际学术期刊。本刊采用开放获取模式,报道控制工程学科领域的最新科研成果,旨在反映学术前沿进展及水平,促进学术交流,为国内外该领域的学者、科研人员提供一个良好的交流平台,以推进控制工程理论、应用和技术的发展。

本刊可接收中、英文稿件。但中文稿件要有详细的英文标题、作者、单位、摘要和关键词。初次投稿请按照稿件模板排版后在线投稿。录用稿件首先刊发在期刊网站上,然后由Ivy Publisher出版公司高质量出版,面向全球公开发行。因此,要求来稿均不涉密,文责自负。

ISSN Print:2167-0196

ISSN Online:2167-020X

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Paper Infomation

Contribution of Agricultural Machinery Automation to Sustainable Agricultural Development

Full Text(PDF, 55KB)

Author: Cheng Guo

Abstract: With the rapid growth of the global population and the increasing challenges posed by climate change and labor shortages, traditional agricultural methods are becoming increasingly unsustainable. Agricultural machinery automation presents a promising solution by leveraging cutting-edge technologies such as artificial intelligence (AI), the Internet of Things (IoT), and robotics to enhance agricultural productivity, optimize resource utilization, and reduce environmental impacts. This study explores the evolution of agricultural machinery automation, the core technologies involved, and its applications in sustainable agriculture. Key benefits of automation include improved precision in farming practices, better resource efficiency, reduced environmental degradation, and enhanced economic sustainability. Despite its potential, several barriers hinder the widespread adoption of agricultural automation, including technological limitations, high initial costs, and regulatory challenges. This research also offers recommendations to accelerate the adoption of agricultural automation, including financial support, infrastructure development, and capacity building for farmers. As technological advancements continue, agricultural machinery automation is poised to play a critical role in shaping the future of sustainable agriculture.

Keywords: Agricultural Machinery Automation, Precision Farming, Sustainable Agriculture, Technological Innovation, Resource Efficiency, AI, IoT

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