利用人工智能进行农业转型（英）2025

Table ofContents 1. Why Artificial Intelligence for Agriculture Sector12 2. Foundational Domains for AI in Agriculture:Conditions, Challenges, and OpportunitiesConnectivity and Energy Infrastructure: The Physical BackboneData Ecosystems: Fueling AI with Local IntelligenceHuman Capital and Digital Literacy: Equipping the FrontlineGovernance and Policy: Building a Framework for Trust and ScalePublic-Private Ecosystems: Scaling Sustainably202123232526 3. Applications of AI in AgricultureCrop and Livestock DiscoveryAdvisory and Farm ManagementInclusive Finance and Risk MitigationMarkets, Distribution, and LogisticsCross-Cutting Applications293135414551 4. Investment Priorities57 Agriculture-Specific AI Models and CapacityFoundational Data InvestmentsCompute Infrastructure InvestmentsPolicy and Governance InvestmentsForward Look: Advancing Agrifood Transformation through Responsible AICall to action586062676869 Appendix Selected Case Studies List of Acronyms Acknowledgements This report is a product of the Agriculture and Food Global Department at the World BankGroup. It was prepared by Parvathy Krishnan Krishnakumari (Consultant), under the overallguidance of Parmesh Shah (Global Lead, Data, Digital Agriculture and Innovations). The teamexpresses its deep appreciation to Stewart Collis (Senior Program Officer, Digital Solutions,Agricultural Development, Gates Foundation), Ranveer Chandra (Vice President, Microsoft),and Rikin Gandhi (Chief Executive Officer, Digital Green) for their extensive inputs andadvisory support during the preparation of the report. Valuable feedback and contributionsfrom Boniface Akuku (Consultant), Michael Norton (Data Analyst), Kateryna Schroeder (SeniorAgriculture Economist), Isha Asalla (Consultant), Sunghee Park (Consultant), Bareket Knafo(Consultant), Lesly Goh (UIUC Scientist, University of Illinois Urbana-Champaign), Sunil Madan(Consultant), and Javier Alejandro Varela Guevara (Consultant) helped to strengthen thereport. The team also thank the colleagues from the Digital Development Vice Presidency - KochukoshyKoshy Cheruvettolil (Consultant), Sharmista Appaya (Senior Digital Specialist), Seth Ayers(Senior Digital Specialist), and Sara Ballan (Senior Digital Specialist) - for their feedback andguidance. We acknowledge the valuable contributions of the Deutsche Gesellschaft für InternationaleZusammenarbeit (GIZ) GmbH team, including Bjorn-Soren Gigler, Christian Merz, Juan CarlosGuzman Hidalgo, Lisa Werkmeister, Stephanie Arnold, Kyoung Yang (Kay) Kim, Christian Merz,Lisa Werkmeister, Philipp Olbrich, Jonas Gramse, Abeera Dubey, Mark Gachara and RuthSchmidt. We are grateful to the peer reviewers Diego Arias Carballo (Practice Manager, SLCAG), KatieKennedy Freeman (Lead Agriculture Economist, Program Leader), Kristofer Hamel (UAE-GatesFoundation Partnership on Agricultural Innovation, Presidential Court of the UAE), Jawoo Koo(Director of Digital and Data Science for Research, CGIAR), Gaurav Nayyar (Economic Adviser,DECWD), and Nagaraja Rao Harshadeep (Lead Environmental Specialist, SENCR) for theirconstructive comments and insights. The case studies for this report were contributed by: •Allianceof Bioversity International and the International Center for TropicalAgriculture (CIAT):Wuletawu Abera, Teklu Erkossa, Temesgen Dessalegn, Steffen Schultz,Lulseged Tamene•Center for International Forestry Research and World Agroforestry (CIFOR-ICRAF):Revathi Kollegala•Ernst & Young:Puneet Sharma, Prakash Jayaram, Sonal Diwan, Amit Vatsyayan, RakeshKaul Punjabi •Google Cloud:Siddharth Prakash, Dipika Prasad•International Rice Research Institute (IRRI):Giovanny Covarrubias-Pazaran, ParthibanPrakash, Pallavi Sinha, John Platten, Rowena Oane, Sankalp Bhosale, Suresh Kadaru, SteveKlassen, Venuprasad Ramaiah, Vikas Kumar Singh, Waseem Hussain, Jauhar Ali, KazukiSaito, Shalini Gakhar, Seyed Mahdi Hosseiniyan Khatibi, Michael Angelo Rayco, AmitSrivastava, Alice Laborte, Elizabeth Anne Ali, Anton Urfels, Bert Lenaerts, D. Chebotarov,Joy Gimena. We are thankful to Mary C. Fisk (Consultant) for providing editorial support, and to TarunCherian(Consultant)for their contributions to the report’s visual design and layout.Administrative support was provided by Venkatakrishnan Ramachandran (Senior ProgramAssistant). This report was made possible through the support of the World Bank’s FoodSystems 2030(FS2030) Umbrella Multi-Donor Trust Fund and the Digital Development Partnership (DDP) Executive Summary The global agrifood system stands at a critical inflection point. Climate shocks, rising inputcosts, fragile supply chains, and widening inequality are placing unprecedented pressure onfood production and distribution. Small-scale producers (SSPs), who produce one-third ofthe world’s food, are especially vulnerable. Artificial Intelligence (AI) presents a timely andpowerful tool to help reimagine agricultural transformation in ways that are more productive,sustainable, and inclusive. Thi