农业机械化进程中装备智能化发展趋势
摘 要
随着全球农业现代化进程的加速，农业机械化已成为提升生产效率和保障粮食安全的关键手段。然而，传统机械化模式在应对复杂多变的农业环境和精细化生产需求时，逐渐显现出局限性。在此背景下，装备智能化作为农业机械化发展的新方向，正受到广泛关注。本研究旨在探讨农业机械化进程中装备智能化的发展趋势，分析其技术路径、应用场景及潜在挑战。通过文献综述、案例分析和实地调研相结合的方法，本文系统梳理了国内外智能农机装备的技术现状，重点考察了传感器技术、人工智能算法和物联网在农业机械中的集成应用。研究发现，智能农机装备在精准作业、自主决策和远程监控等方面展现出显著优势，尤其在中国东北地区的大规模农田管理中取得了初步成效。
关键词：农业机械化；装备智能化；传感器技术
DEVELOPMENT TREND OF INTELLIGENT EQUIPMENT IN THE PROCESS OF AGRICULTURAL MECHANIZATION
ABSTRACT
With the acceleration of the global agricultural modernization process, agricultural mechanization has become a key means to improve production efficiency and ensure food security. However, the traditional mechanization model gradually shows limitations in dealing with the complex and changeable agricultural environment and refined production demand. In this context, equipment intelligence, as a new direction of agricultural mechanization development, is attracting wide attention. The purpose of this study is to explore the development trend of equipment intelligence in the process of agricultural mechanization, and to analyze its technical paths, application scenarios and potential challenges. Through the combination of literature review, case analysis and field research, this paper systematically combs the technical status of intelligent agricultural machinery equipment at home and abroad, and focuses on the integrated application of sensor technology, artificial intelligence algorithm and Internet of Things in agricultural machinery. The study found that intelligent agricultural machinery and equipment has shown significant advantages in accurate operation, independent decision-making and remote monitoring, especially in the large-scale farmland management in northeast China.
KEY WORDS：Agricultural mechanization; intelligent equipment; sensor technology
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 研究目的和内容 1
第2章 农业机械化与智能化装备的融合背景 2
2.1 农业机械化发展历程回顾 2
2.2 智能化技术在农业装备中的应用现状 2
2.3 智能化装备对农业生产效率的影响分析 3
第3章 智能化农业装备的技术创新与应用 4
3.1 智能传感技术在农业机械中的集成 4
3.2 人工智能算法在农机作业中的优化 4
3.3 无人驾驶技术在农业装备中的实践 5
第4章 智能化农业装备的未来发展趋势与挑战 6
4.1 智能化农业装备的市场需求预测 6
4.2 政策支持对智能化装备发展的推动作用 6
4.3 智能化农业装备的技术瓶颈与突破方向 7
第5章 结论 8
参考文献 9
致 谢 10
摘 要
随着全球农业现代化进程的加速，农业机械化已成为提升生产效率和保障粮食安全的关键手段。然而，传统机械化模式在应对复杂多变的农业环境和精细化生产需求时，逐渐显现出局限性。在此背景下，装备智能化作为农业机械化发展的新方向，正受到广泛关注。本研究旨在探讨农业机械化进程中装备智能化的发展趋势，分析其技术路径、应用场景及潜在挑战。通过文献综述、案例分析和实地调研相结合的方法，本文系统梳理了国内外智能农机装备的技术现状，重点考察了传感器技术、人工智能算法和物联网在农业机械中的集成应用。研究发现，智能农机装备在精准作业、自主决策和远程监控等方面展现出显著优势，尤其在中国东北地区的大规模农田管理中取得了初步成效。
关键词：农业机械化；装备智能化；传感器技术
DEVELOPMENT TREND OF INTELLIGENT EQUIPMENT IN THE PROCESS OF AGRICULTURAL MECHANIZATION
ABSTRACT
With the acceleration of the global agricultural modernization process, agricultural mechanization has become a key means to improve production efficiency and ensure food security. However, the traditional mechanization model gradually shows limitations in dealing with the complex and changeable agricultural environment and refined production demand. In this context, equipment intelligence, as a new direction of agricultural mechanization development, is attracting wide attention. The purpose of this study is to explore the development trend of equipment intelligence in the process of agricultural mechanization, and to analyze its technical paths, application scenarios and potential challenges. Through the combination of literature review, case analysis and field research, this paper systematically combs the technical status of intelligent agricultural machinery equipment at home and abroad, and focuses on the integrated application of sensor technology, artificial intelligence algorithm and Internet of Things in agricultural machinery. The study found that intelligent agricultural machinery and equipment has shown significant advantages in accurate operation, independent decision-making and remote monitoring, especially in the large-scale farmland management in northeast China.
KEY WORDS：Agricultural mechanization; intelligent equipment; sensor technology
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 研究目的和内容 1
第2章 农业机械化与智能化装备的融合背景 2
2.1 农业机械化发展历程回顾 2
2.2 智能化技术在农业装备中的应用现状 2
2.3 智能化装备对农业生产效率的影响分析 3
第3章 智能化农业装备的技术创新与应用 4
3.1 智能传感技术在农业机械中的集成 4
3.2 人工智能算法在农机作业中的优化 4
3.3 无人驾驶技术在农业装备中的实践 5
第4章 智能化农业装备的未来发展趋势与挑战 6
4.1 智能化农业装备的市场需求预测 6
4.2 政策支持对智能化装备发展的推动作用 6
4.3 智能化农业装备的技术瓶颈与突破方向 7
第5章 结论 8
参考文献 9
致 谢 10
