2025塑造农业深科技革命洞察报告

I N S I G H TR E P O R TN O V E M B E R2 0 2 5 Contents ForewordExecutive summaryIntroduction1 Acknowledging the looming crisis in global agriculture2 Future-proofing agriculture: The role of deep tech2.1 Understanding deep tech in agriculture3 A detailed look at promising agri deep-tech domains3.1 Generative AI3.2 Computer vision3.3 Edge internet of things (edge IoT)3.4 Satellite-enabled remote sensing3.5 Robotics (including drones)3.6 CRISPR3.7 Nanotechnology4 Tech convergences and breakthrough use cases for agriculture4.1 Breakthrough use cases5 Optimizing agri deep-tech ecosystemsConclusionAnnexe: Selecting technology domains for detailedexamination – methodologyContributorsEndnotes345689101012141618202224263437384041 Disclaimer This document is published by theWorld Economic Forum as a contributionto a project, insight area or interaction.The findings, interpretations andconclusions expressed herein are a resultof a collaborative process facilitated andendorsed by the World Economic Forumbut whose results do not necessarilyrepresent the views of the World EconomicForum, nor the entirety of its Members,Partners or other stakeholders. ©2025 World Economic Forum. All rightsreserved. No part of this publication maybe reproduced or transmitted in any formor by any means, including photocopyingand recording, or by any informationstorage and retrieval system. Foreword Jeremy Jurgens Managing Director,Centre for the FourthIndustrial Revolution andCentre for Cybersecurity,World Economic Forum Ranveer ChandraChief Technology Officer,Agri-Food, Microsoft Globally, agriculture stands at a defining momentin history. As the world faces the intersectingpressures of climate change, resource degradation,demographic shifts and geopolitical instability, theability to sustainably feed a growing population isunder increasing strain. Conventional approaches,though vital, are no longer sufficient to meet thescale and urgency of these challenges. Instead,there is now a requirement to take a bold leapforward – by harnessing the transformative potentialof deep tech in agriculture. patient capital, robust digital infrastructure andskilled human capital. Collaboration acrossgovernments, research institutions, start-ups,corporations and financiers will be essentialfor translating early breakthrough ideas intotransformative solutions at scale. In a bid to demystify the potential of deep tech inagriculture, the World Economic Forum’s ArtificialIntelligence for Agriculture Innovation (AI4AI)initiative with support from partners globally hasdeveloped this insight report. It highlights themost pressing challenges facing agriculture andillustrates promising deep-tech domains that canmitigate the risks associated with these challenges.It further explores how the convergence of multipledeep-tech domains can unlock breakthrough usecases ranging from swarm robotics and agentic AIsystems to macro crop planning and supply chainrisk-assessment tools. Deep tech, spanning domains such as artificialintelligence (AI), robotics, biotechnology,nanotechnology and satellite-enabled systems,offers several opportunities to reshape food andfarming systems. These technologies not onlylead to incremental improvements but can triggerfundamental shifts in how crops are grown,monitored, protected and distributed. Fromdeveloping climate-resilient seed varieties todeploying autonomous farm machinery and buildingpredictive climate models, deep tech holds thepromise of creating agricultural systems that aremore productive, resilient and sustainable. The report also outlines actionable pathways toaccelerate the adoption of deep tech in agriculture.Consequently, it is an invitation to policy-makers,corporations, innovators, academia, research andfunders to recognize the pivotal role of deep techin future-proofing global agriculture and to actcohesively to support forward-looking technologies. Seeding and commercializing deep-techinnovations, however, requires deliberate ecosystembuilding that encompasses supportive policies, Executive summary Deep tech has the potential to future-proofagricultural systems, but collaboration iscritical to deliver them at scale. The agricultural sector globally faces convergingpressures: a shrinking workforce, intensifyingclimate extremes, natural resource degradation,rising food demand and geopolitical instability.These challenges threaten food security and rurallivelihoods, demanding transformative action. Novelscience-backed technologies often referred to asdeep tech could drive much of this action in thecoming decades. Satellite-enabled remote sensing:Allows continuous and large-scalemonitoring of farm conditions at affordable costs, aiding data-driven decision-making. Enhanced spatial and spectral capabilitiesand increased data capture frequency are drivingadoption in agriculture, although the level ofaccuracy is limited in small and fragmentedfarmlands or when multi-cropping is practised. This report explor