自动化技术在现代农业灌溉系统中的应用研究

自动化技术在现代农业灌溉系统中的应用研究

摘  要

随着全球水资源日益紧张,现代农业灌溉系统的高效利用成为保障粮食安全和水资源可持续利用的关键。传统灌溉方式存在水资源浪费严重、灌溉效率低下等问题,已难以满足现代农业生产的需要。本研究概述了现代农业灌溉系统的基本组成与工作原理,分析了灌溉系统的技术发展趋势。随后,详细阐述了自动化灌溉系统在提高灌溉效率、降低水资源浪费、优化灌溉策略等方面的优势。进一步地,从环境、经济和社会三个维度分析了自动化灌溉系统的综合影响,并提出了可持续发展的策略。最后,重点探讨了传感器与监测技术、控制系统与执行机构、智能决策支持系统及无线通信与远程控制等自动化技术在现代农业灌溉中的具体应用,为农业灌溉系统的智能化改造提供了可行的技术方案。

关键词:自动化技术;现代农业灌溉系统;应用研究

RESEARCH ON THE APPLICATION OF AUTOMATION TECHNOLOGY IN MODERN AGRICULTURAL IRRIGATION SYSTEM

ABSTRACT

With the increasing global water shortage, the efficient use of modern agricultural irrigation systems is the key to ensuring food security and sustainable use of water resources. Traditional irrigation methods have problems such as serious waste of water resources and low irrigation efficiency, which are difficult to meet the needs of modern agricultural production. This study summarizes the basic composition and working principles of modern agricultural irrigation system, and analyzes the technical development trend of irrigation system. Subsequently, the advantages of automated irrigation systems in improving irrigation efficiency, reducing water waste, and optimizing irrigation strategies are elaborated. Further, the combined impact of automated irrigation systems is analyzed from three environmental, economic and social dimensions, and strategies for sustainable development are proposed. Finally, the specific application of sensor and monitoring technology, control system and actuator, intelligent decision support system and wireless communication and remote control in modern agricultural irrigation, which provides feasible technical solutions for the intelligent transformation of agricultural irrigation system.

KEY WORDS:Automation technology; modern agricultural irrigation system; and application research


目  录
摘  要 I
ABSTRACT II
第1章 绪论 1
1.1 研究背景及意义 1
1.2 国内外研究现状 1
第2章 现代农业灌溉系统概述 3
2.1 灌溉系统的组成与原理 3
2.2 灌溉系统的技术发展趋势 3
2.3 自动化灌溉系统的优势 3
第3章 自动化灌溉系统的环境与经济影响 5
3.1 环境影响分析 5
3.2 经济效益分析 5
3.3 社会影响分析 6
3.4 持续发展策略 6
第4章 自动化技术在现代农业灌溉中的应用 7
4.1 传感器与监测技术 7
4.2 控制系统与执行机构 7
4.3 智能决策支持系统 8
4.4 无线通信与远程控制 8
第5章 结论 10
参考文献 11
致  谢 12

 

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