[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2778":3},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":11,"published_at":12,"category":13,"cover_url":9,"hotness":14,"is_selected":15,"score":16,"score_detail":17,"sources":25,"tags":27,"view_count":33,"doi":34,"paper":35,"created_at":57},2778,"DS2-Based Cross-Data-Space Interoperability for Precision Agriculture","https:\u002F\u002Fdoi.org\u002F10.48550\u002Farxiv.2609.17185","Despite the strategies of modern precision agriculture to leverage the integration of legacy agricultural systems, the challenges of IoT data fragmentation, farmers' sovereignty preservation, and limited interoperability still persist. This paper presents our work, conducted within the Horizon Europe DS2 project (DataSpace, DataShare 2.0), that applies an interoperability-oriented framework supporting participants of different agricultural data spaces to share data products and services under secure, sovereign, and transparent methods. The suggested methodology follows a layered reference architecture, where each layer consists of independent operational modules that facilitate the inter-sector data exchange between DigiAgro and AgroScience Data Spaces. The result of this work is an automated ecosystem for sharing diverse farm IoT measurements, satellite images and metrics, weather forecasts, and analytics services across distinct data spaces, aiming to generate accurate recommendations on crop practices, such as irrigation schedules, that farmers and agronomists will rely on to increase crop production while maintaining sustainability.","尽管现代精准农业策略致力于整合传统农业系统，但物联网数据碎片化、农民主权保护以及互操作性有限等挑战依然存在。本文介绍了我们在Horizon Europe DS2项目（DataSpace，DataShare 2.0）中开展的工作，该工作应用了一个面向互操作性的框架，支持不同农业数据空间的参与者在安全、主权和透明的方法下共享数据产品与服务。所建议的方法遵循分层参考架构，其中每一层由独立的操作模块组成，促进DigiAgro与AgroScience数据空间之间的跨部门数据交换。这项工作的成果是一个自动化生态系统，用于在不同数据空间之间共享多样化的农场物联网测量数据、卫星图像与指标、天气预报以及分析服务，旨在生成关于作物实践（如灌溉计划）的准确建议，农民和农艺师将依赖这些建议来提高作物产量，同时保持可持续性。",null,"arXiv (Cornell University)","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.17185","2026-09-15T00:00:00Z","论文",10,false,77,{"impact":18,"substance":19,"depth":20,"authority":21,"freshness":22,"relevant":23,"comment":24},18,21,17,13,8,1,"欧盟DS2项目下跨数据空间互操作框架，方法新颖且面向精准农业落地，对农业数据要素流通有参考价值。",[26],{"name":10,"url":11},[28,29,30,31,32],"智慧农业","农业物联网","遥感","农业数据空间","数据互操作",0,"10.48550\u002Farxiv.2609.17185",{"doi":34,"openalex_id":36,"authors":37,"venue":10,"cited_by_count":33,"oa_url":49,"card":50,"direction":54,"ingested_from":56},"W7213417676",[38,40,43,45,47],{"name":39,"orcid":9},"Katerina Kyriakou",{"name":41,"orcid":42},"Ilias Syrigos","https:\u002F\u002Forcid.org\u002F0000-0002-4392-6036",{"name":44,"orcid":9},"Ioannis Moutsinas",{"name":46,"orcid":9},"Panagiotis Tzimotoudis",{"name":48,"orcid":9},"Thanasis Korakis","https:\u002F\u002Farxiv.org\u002Fpdf\u002F2609.17185",{"tldr":51,"method":52,"finding":53,"direction":54,"opportunity":55},"提出基于DS2的跨数据空间互操作框架，实现农业数据安全共享与精准推荐。","分层参考架构，连接DigiAgro与AgroScience数据空间，集成IoT、","自动化生态系统可跨数据空间共享数据并生成灌溉等精准农事建议。","智慧农业 \u002F 农业物联网","可研究跨数据空间互操作中的语义对齐、信任机制与实时决策优化。","openalex","2026-09-17T23:30:18.248884Z"]