数字农业中大量时空数据分散在异构系统中,有着不同格式规范、概念术语、数学模型和分析推理方法。采用时空推理、本体论、语义Web和专家系统等技术建立一个数字农业时空信息管理平台,对多源、异构的农业时空数据和推理分析方法进行集中统一的规范化管理。基于该平台构建数字农业应用系统更加方便快捷。
Many spatio-temporal data in digital agriculture dispersedly loacated in isomerous systems which had different standards, terms, models and analytic methods. Based on spatio-temporal reasoning, ontologies, semantic Web and expert system technology, a spatio-temporal information management platform for digital agriculture was built. It was used for concentrated management of multi-source and isomerous agriculture spatio-temporal data and analytic methods. Building digital agriculture application systems becames more easier and expeditious with the platform.