人工智能技术在种植业应用场景分析与挑战

Application scenario analysis and challenge of artificial intelligence technology in planting industry

关键词:  人工智能  种植业  智能技术  信息处理  挑战

Key words:  artificial intelligence  planting industry  intelligent technology  information processing  challenge

摘要:

【目的】 文章旨在介绍人工智能技术在种植业领域的应用现状和发展方向，分析当前面临的挑战，并提出相应的建议。【方法】 首先，将人工智能技术在种植业中的应用分为农情智能感知技术、农情信息通信技术、农情信息处理技术、农情智能装备和农情智能管理。其次，针对应用中存在的问题进行分析，并指出当前中国人工智能技术在种植业领域发展所面临的挑战。最后，提出相关建议以应对这些挑战。【结果】 人工智能技术在种植业领域的应用已经取得了显著成效，可以优化种植策略，提高效率，降低成本，减少浪费和损失。然而，在应用中仍面临一些挑战，主要集中在数据资源掌握与应用、技术开发与核心技术以及认知理念与管理方式三方面。【结论】 为了进一步推动人工智能技术在种植业中的应用，实现农业高质量发展，该文提出以下建议：一是重视数据管理与保护，确保数据的质量和安全；二是强化关键技术研发能力，加强人工智能在种植业中的核心技术研究；三是完善监管与复合人才的培养机制，建立健全的政策法规和培训体系。

Abstract:

【Purpose】 This paper aims to introduce the application status and development direction of artificial intelligence technology in planting field，analyse the current challenges，and put forward corresponding suggestions.【Method】 Firstly，the application of artificial intelligence technology in planting industry was divided into intelligent sensing technology，information communication technology，information processing technology，intelligent equipment and intelligent management of agricultural conditions. Secondly，it analysed the existing problems in the application，and pointed out the challenges facing the development of artificial intelligence technology in the field of planting in China. Finally，some suggestions were made to deal with these challenges.【Result】 Artificial intelligence technology achieved remarkable results in the field of planting，which could optimise planting strategies，improve efficiency，reduce costs，and reduce waste and loss. However，there were still some challenges in the application，which mainly focused on three aspects：data resource mastery and application，technology development and core technology，cognitive concept and management mode.【Conclusion】 In order to promote the wide application of artificial intelligence in planting industry and realize the high-quality development of agriculture，this paper puts forward the following suggestions：First，we should pay attention to data management and protection to ensure the quality and security of data；Second，strengthen the research and development ability of key technologies，and strengthen the core technology research of artificial intelligence in planting industry；The third is to improve the training mechanism of supervision and composite talents，and establish a sound policy，regulations and training system.