With the deep integration of agriculture and modem 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.
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
Key words
knowledge engineering/cognitive intelligent service/modern agriculture/active meta-learning/software intelligent agent/agricultural big data
维普
万方数据