Amanda J. Ashworth, Alicia Tyson, Timothy Propst, Logan Marshall, Chengkai Li, Jeff J. Volenec, Marisol T. Berti, Valentin Picasso, Jamie L. Foster, Jianzhong Su
{"title":"Knowledge graph applications for identifying resilient forage systems","authors":"Amanda J. Ashworth, Alicia Tyson, Timothy Propst, Logan Marshall, Chengkai Li, Jeff J. Volenec, Marisol T. Berti, Valentin Picasso, Jamie L. Foster, Jianzhong Su","doi":"10.1002/ael2.70021","DOIUrl":null,"url":null,"abstract":"<p>Knowledge Graphs organize and connect disparate data for integrating information in a user-friendly interface for recommendations and applications. This analytical tool for supporting data interrogation has not been widely applied in agronomy. This article focuses on Knowledge Graph applicability and specifically the utility of the recently released Esri ArcGIS Knowledge platform for identifying system resilience using a community-driven database (<i>Forage Data Hub</i>; 52,997 entries from 108 unique locations over 51 years) comprising legacy datasets encompassing multiple temporal and spatial scales. Overall, perennial systems had greater drought risk resilience estimates (DRRE) than annuals, with alfalfa (<i>Medicago sativa</i>) having a “very high” DRRE across ecoregions. Knowledge Graphs provided information on how geography and agronomic systems interact to impact resilience. Results can be used to design agricultural systems within specific geographic locations with greater resilience and stability in the face of a changing climate per geographic region.</p>","PeriodicalId":48502,"journal":{"name":"Agricultural & Environmental Letters","volume":"10 1","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ael2.70021","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agricultural & Environmental Letters","FirstCategoryId":"97","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/ael2.70021","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Knowledge Graphs organize and connect disparate data for integrating information in a user-friendly interface for recommendations and applications. This analytical tool for supporting data interrogation has not been widely applied in agronomy. This article focuses on Knowledge Graph applicability and specifically the utility of the recently released Esri ArcGIS Knowledge platform for identifying system resilience using a community-driven database (Forage Data Hub; 52,997 entries from 108 unique locations over 51 years) comprising legacy datasets encompassing multiple temporal and spatial scales. Overall, perennial systems had greater drought risk resilience estimates (DRRE) than annuals, with alfalfa (Medicago sativa) having a “very high” DRRE across ecoregions. Knowledge Graphs provided information on how geography and agronomic systems interact to impact resilience. Results can be used to design agricultural systems within specific geographic locations with greater resilience and stability in the face of a changing climate per geographic region.
知识图组织和连接不同的数据，以便在用户友好的界面中集成信息，以提供建议和应用程序。这种支持数据查询的分析工具尚未在农学中得到广泛应用。本文主要关注知识图的适用性，特别是最近发布的Esri ArcGIS知识平台的实用性，该平台使用社区驱动的数据库(Forage Data Hub；51年来，来自108个不同地点的52,997个条目，包括涵盖多个时空尺度的遗留数据集。总体而言，多年生系统比一年生系统具有更高的干旱风险恢复能力（DRRE），苜蓿（Medicago sativa）在整个生态区域具有“非常高”的DRRE。知识图谱提供了地理和农艺系统如何相互作用影响复原力的信息。研究结果可用于设计特定地理位置的农业系统，使其在面对每个地理区域气候变化时具有更大的复原力和稳定性。
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