摘要
为促进农作物科学施肥管理与土壤肥力研究领域海量数据在农业生产中的利用,探索互联网+农业的新型应用方向,该研究以安徽省为例,首先构建农作物科学施肥管理与土壤肥力领域本体,再通过挖掘安徽省常见农作物的科学施肥管理措施与土壤肥力指标形成三元组数据,存储至图数据库Neo4j中建成知识图谱,其后通过模式匹配构建问句类型模板、关键词和规则,实现问答系统的问答功能。测试结果表明,该农业智能问答系统可以有效回答用户在安徽省常见农作物科学施肥管理与土壤肥力方面的提问。
In order to promote the utilization of massive data in agricultural production and to explore new application directions of Internet&Agriculture,this study took Anhui province as an example to construct an agricultural intelligent question answering system for crop scientific fertilization management and soil fertility.First of all,the crop science fertilization management and soil fertility field ontology was established.Then,through mining the scientific fertilization management measures and soil fertility indicators of main crops in Anhui province,triples were formed and stored in the map database Neo4j to build a knowledge graph.Then,by using pattern matching to construct question type template,keyword as well as rules,and to realize the question&answer function of Q&A system.The test results show that the agricultural intelligent Q&A system can effectively answer users’questions on scientific fertilization management and soil fertility of main crops in Anhui Province.
作者
张彩丽
吴赛赛
李玮
王慧
ZHANG Cai-li(Agricultural Economy and Information Research Institute,Anhui Academy of Agricultural Science,Hefei,Anhui 230031)
出处
《园艺与种苗》
CAS
2022年第10期84-86,92,共4页
Horticulture & Seed
基金
国家自然科学基金项目(41807106)
国家重点研发计划项目(2016YFD0300809-5)
安徽省农业科学院2021年定向委托类项目(2021YL053)。
关键词
农作物
科学施肥
土壤肥力
农业智能问答
Crop
Scientific fertilization
Soil fertility
Agricultural intelligent question answering
