Zenodo (CERN European Organization for Nuclear Research)·8月28日 · 周五论文智慧农业 / 农业物联网阅读 2

OurMED D6.3 GoAigua Digital Twins Tool at the Farm, Basin and MED Scale. Version 1.2

Isabel Augscheller · Maximilian Schwarz · Patrícia Lourenço 等 8 人

Zenodo (CERN European Organization for Nuclear Research)DOI 10.5281/zenodo.22142119开放获取 PDF ↗
论文解读
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速览

开发了跨地块、流域和地中海尺度的农业数字孪生工具,集成多源数据支持实时监测与决策。

方法

集成EO产品、实地观测、模型输出、公民科学和智慧农业服务,构建互操作数字平台。

发现

数字孪生框架支持近实时监测、预报、环境评估和决策,覆盖多尺度。

机会点

可探索数字孪生与具体作物模型耦合,提升地块尺度精准管理,并验证跨尺度可扩展性。

影响力15
信息增量20
专业深度18
信源权威12
时效性4

欧盟项目交付物,整合多源数据构建农业数字孪生框架,具行业参考价值,但时效性较低。

原文摘要

This deliverable, D6.3 GoAigua Digital Twins Tool at the plot, basin and MED scale, presents the development and integration of the OurMED Digital Twin framework implemented within WP6 - Digital Twins and Decision Support Systems. The framework combines EO products, in situ observations, modelling outputs, citizen-science contributions, and smart agriculture services into interoperable digital platforms supporting near real-time monitoring, forecasting, environmental assessment, and decision-making.

决策支持系统 农业遥感 数字孪生 智慧农业相关资讯