摘要
随着大数据、人工智能、物联网、云计算等现代信息技术与农业领域的深度融合,现代农业正朝着智能化方向迈进.知识工程在整合、管理、挖掘和利用农业知识方面发挥了至关重要的作用,为实现个性化、精准化的农业认知智能服务提供了强有力的技术支持.探讨了当前农业知识工程及认知智能服务面临的主要挑战,综述了国内外农业认知智能服务领域的研究现状,提出了集成数据层、算法层和认知服务层的基础研究框架.在此基础上,创新性地设计了基于主动元学习思想,通过软件智能体与科学大数据双向偶联自指循环方式完成农业大数据整合和知识建模、知识抽取、知识融合以及知识推理的农业认知智能服务构建框架,梳理了各环节涉及的关键技术和服务应用.最后,对农业认知智能服务领域的未来发展趋势和对策建议进行总结与展望.
With the deep integration of agriculture and modern information technologies such as big data,artificial intelligence,the Internet of Things,and cloud computing,the field of modern agriculture is gradually embracing intelligence.Knowledge engineering plays a crucial role in integrating,managing,mining,and utilizing agricultural knowledge,providing robust support for personalized and precise agricultural cognitive intelligent services.This article discusses the primary challenges in agricultural knowledge engineering and cognitive intelligent services,reviews the current research status of both domestic and international agricultural cognitive intelligent services,and proposes a foundational research framework that integrates the layers of data,algorithms,and cognitive services.Building upon this framework,a novel framework for agricultural cognitive intelligent services utilizing active meta⁃learning is introduced to achieve data integrating and knowledge modeling,extraction,fusion,and reasoning for agricultural big data through bidirectional coupling with software intelligent agents and scientific big data.Key technologies and service applications involved in each step are outlined.Finally,the article concludes by summarizing future trends and offering recommendations for the development of agricultural cognitive intelligent services.
作者
许瑞清
许多
张隽美
张红雨
李兵
何克清
李万理
张建伟
冯在文
Xu Ruiqing;Xu Duo;Zhang Junmei;Zhang Hongyu;Li Bing;He Keqing;Li Wanli;Zhang Jianwei;Feng Zaiwen(College of Informatics,Huazhong Agricultural University,Wuhan,430070,China;College of Plant Science and Technology,Huazhong Agricultural University,Wuhan,430070,China;Macro Agricultural Research Institute,Huazhong Agricultural University,Wuhan,430070,China;School of Computer Science,Wuhan University,Wuhan,430070,China;Hubei Hongshan Laboratory,Wuhan,430070,China;Key Laboratory of Knowledge Mining and Knowledge Services in Agricultural Converging Publishing,National Press and Publication Administration,Agricultural Information Institute,Chinese Academy of Agricultural Sciences,Beijing,100081,China)
出处
《南京大学学报（自然科学版）》
CAS
CSCD
北大核心
2024年第4期613-624,共12页
Journal of Nanjing University（Natural Science）
基金
湖北洪山实验室重大项目(2022HSZD031)
中央高校基本科研业务费专项资金(2662023XXPY004,2662022JC004)
作物遗传改良全国重点实验室开放基金(ZK202203)
内蒙科技重大专项(2021SZD0099)
国家新闻出版署农业融合出版知识挖掘与知识服务重点实验室开放基金(2023KMKS02)。
关键词
知识工程
认知智能服务
现代农业
主动元学习
软件智能体
农业大数据
knowledge engineering
cognitive intelligent service
modern agriculture
active meta⁃learning
software intelligent agent
agricultural big data
