基于人工智能的数字智能农业发展模式研究

Research on the Development Model of Digital Intelligent Agriculture Based on Artificial Intelligence

随着人工智能技术的快速发展,其在农业领域的应用也日益广泛,极大地推动了数字智能农业的进步.文中深入探讨了人工智能在数字智能农业中的应用情况、发展模式以及可持续性问题.首先,分析了智能农业管理系统的构建与优势以及人工智能技术在农业生产过程中的应用案例.接着,探索了智能农业生产模式的优化与智能化,并对传统农业与数字智能农业进行了对比分析.此外,还讨论了农业数据管理与决策支持系统的建设以及数据采集与处理技术在农业中的应用.最后,探讨了环境友好型数字智能农业的发展以及农业可持续发展与人工智能的融合.

With the rapid development of artificial intelligence technology,its application in the field of agriculture is becoming increasingly widespread,greatly promoting the progress of digital intelligent agriculture.This paper delves into the application,development models,and sustainability issues of artificial intelligence in digital intelligent agriculture.Firstly,the construction and advantages of intelligent agricultural management systems were analyzed,as well as application cases of artificial intelligence technology in agricultural production processes.Subsequently,the optimization and intelligentization of intelligent agricultural production models were explored,and a comparative analysis was conducted between traditional agriculture and digital intelligent agriculture.In addition,the construction of agricultural data management and decision support systems,as well as the application of data collection and processing technologies in agriculture,were also discussed.Finally,the development of environmentally friendly digital intelligent agriculture and the integration of sustainable agricultural development and artificial intelligence were discussed.