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WEF:2024智能时代下的粮食和水系统白皮书:水与食物的关系、汇总数据的影响以及AI的作用(英文版)(24页).pdf

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1、Food and Water Systems in the Intelligent AgeW H I T E P A P E RD E C E M B E R 2 0 2 4Images:Getty ImagesDisclaimer This document is published by the World Economic Forum as a contribution to a project,insight area or interaction.The findings,interpretations and conclusions expressed herein are a r

2、esult of a collaborative process facilitated and endorsed by the World Economic Forum but whose results do not necessarily represent the views of the World Economic Forum,nor the entirety of its Members,Partners or other stakeholders.2024 World Economic Forum.All rights reserved.No part of this publ

3、ication may be reproduced or transmitted in any form or by any means,including photocopying and recording,or by any information storage and retrieval system.ContentsExecutive summary 3Introduction 41 A food-water stack for data-driven decision-making 62 Applications and use cases of the food-water s

4、tack 92.1 Country-based use cases for the food-water stack 92.2 Design components to strengthen data-readiness 143 The food-water stack as a public good:a roadmap to action 17Conclusion 19Contributors 20Endnotes 22Food and Water Systems in the Intelligent Age2Executive summary Food systems represent

5、 72%of water withdrawals worldwide.Current production and consumption trends are not sustainable,as global food production is projected to increase by 70%,intensifying pressure on already-stressed water resources.Connecting data from food and water systems isessential for scaling sustainable interve

6、ntions inthese interlinked areas.While several frameworks recognize the overlap between datasets,integrating them to create a platform for robust decision-making remains a challenge.This white paper outlines connections between water and food,the impacts of aggregated data,the role of artificial int

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本文主要讨论了食物和水系统在智能时代的融合,并提出了“食物-水堆栈”这一概念。食物系统占全球用水量的72%,而当前的生产和消费趋势是不可持续的,全球食物生产预计将增加70%,这将加剧对已经承受压力的水资源的压力。将食物和水系统的数据连接起来对于在这些相互关联的领域扩大可持续干预措施至关重要。虽然一些框架已经认识到数据集之间的重叠,但将它们整合起来以创建一个强大的决策平台仍然是一个挑战。本文概述了食物和水之间的联系,聚合数据的影响,人工智能的角色以及一个数据堆栈框架,以告知和改进决策。这种方法还可以促进利益相关者的合作,并在相互关联的系统内激发创新。 成功应用食物-水堆栈框架需要一组多样化的数据源——通过远程感测和物联网(IoT)等技术手动捕获或通过技术捕获——包括宏观层面的信息,如水可用性、天气预报、盐度水平和土地利用模式。数据与位置的物理基础设施信息一起评估,并与可用的技术相结合,以创建分析,然后将分析提炼并传达给相关利益相关者,通过像AI聊天机器人这样的工具。本文概述了三个案例,说明堆栈框架如何将利益相关者聚集在一起,以更可持续地管理水资源。 食物-水堆栈,在规模上,为提升水作为食物(与碳和其他排放物同等水平)影响倍增器的作用提供了机会。随着食物和水系统面临的挑战变得越来越复杂,采取行动的时候到了。堆栈方法为更好的决策、韧性和可持续性提供了清晰的路径,为未来几代人带来福祉。
数据堆栈如何帮助决策者? 数据堆栈如何促进食品和水的可持续性? 数据堆栈如何提高食品和水的决策质量?
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