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Fruit Logistica & Fruitnet:2026刷新产业新格局:AI 与自动化赋能生鲜农产品供应链未来趋势报告(英文版)(40页).pdf

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1、FRUIT LOGISTICA Trend Report 2026The future of AI and automation in fresh produce supply chainsIntroduction 3How to predict the futureSurvey 7Crowdsourced industry insightCtrl+Alt+Refresh 11Automation and connectivityCtrl+Alt+Refresh 14Smart agri and machine learningCtrl+Alt+Refresh 17Future applica

2、tionsTransformers 21Agile,agentic supply chainsShelf awareness 23Faster,fresher retailConclusion 26The system is rebootingInterviews 27Drew Reynolds,Dole Kaye Hope,FarmableElad Mardix,ClarifreshMarcin Pdzsiz,HectreNico Broersen,AgriplaceDavid Kat,Neolithics Ctrl+Alt+RefreshPublished byfruit logistic

3、aProduced byFruitnet Media InternationalThe Food ExchangeNew Covent Garden Market London SW8 5ELUnited Kfruitnet is the official and exclusive media partner of fruit logisticaEditorMike KnowlesContributorsMichael BarkerCarl CollenInga DetleffsenTom JoyceMaura MaxwellNina PullmanFred SearleMichael Sc

4、hottenChristine WeiserChris WhiteCopyright 2026Fruitnet Media InternationalAll rights reserved.Publication or reuse of all or part of this report is expressly forbidden without prior written permission.This publication has been produced using external sources we believe to be accurate.We do not acce

5、pt liability for any error or omission.Contentswarm welcome to this FRUIT LOGISTICA Trend Report.This year,we take a deep dive into the world of AI and automation,and consider their present and future impact on the global fruit and vegetable business.We look at how these new technologies will affect

6、 areas such as production,post-harvest,distribution,and new product development.And we ask how they can make fresh produce supply chains more resilient and more profitable.All the way through this report,you can feel the tension surrounding those existential questions which AIs emergence continues t

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1. **AI与自动化趋势**:AI和自动化正重塑果蔬供应链,覆盖生产、采后处理、物流及零售,旨在提升效率、减少浪费并增强韧性。 2. **核心应用领域**: - **生产管理**:传感器+AI优化灌溉、施肥,减少15%用水,提升10%产量(如Vivent Biosignals)。 - **质量检测**:超光谱传感器、无损检测技术(如Vertigo的Fresco)提升分级准确性。 - **物流优化**:AI动态规划路线,减少30%损耗(如CH Robinson的“智能代理”供应链)。 3. **挑战与机遇**: - **瓶颈**:复杂环境自动化不足、系统整合困难、零售过早推广未成熟技术。 - **潜力**:全自动化生产中心、数字孪生模拟(如Source的AI温室)可降低35%预收获损耗。 4. **未来方向**:AI与人类协作(如AMFresh的五大平台),结合消费者需求与供应链数据,实现“敏捷智能链”。
AI如何改变农业? 自动化能降成本吗? 未来供应链什么样?
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