1、Future Farming in India A Playbook for Scaling Artificial Intelligence in AgricultureI N S I G H T R E P O R TF E B R U A R Y 2 0 2 5In collaboration with BCG XContentsForeword 3Executive summary 4Introduction 7The potential of AI in agriculture 8The need for an AI playbook 91 Understanding stakehol

2、ders AI aspirations at first hand 102 Exploring promising AI applications for agriculture 142.1 Potential use cases 15 2.1.1 AI-enabled crop planning 16 2.1.2 AI-enabled rapid soil-health analysis 18 2.1.3 AI-enabled pest prediction and control 21 2.1.4 AI-enabled smart marketplaces 242.2 Lessons le

3、arned from AI use cases 273 Framework for developing AI ecosystems 283.1 Introducing the IMPACT AI framework 293.2 Objectives of the framework 293.3 Principles of the IMPACT AI framework 303.4 Pillars of the framework 30 Pillar 1 Enable 32 Pillar 2 Create 33 Pillar 3 Deliver 34Conclusion and call to

4、 action 35Next steps models and templates 37Appendix 1:The Agriculture Expert Group 39Appendix 2:AI for India 2030 Advisory Council 41Appendix 3:The stakeholders matrix 44Appendix 4:A repository of AI use cases in agriculture 45Appendix 5:An assessment of critical datasets for AI in agriculture 50Co

5、ntributors 52Endnotes 53Images:Adobe Stock Generated with AI,GettyDisclaimer This document is published by the World Economic Forum as acontribution to a project,insight area or interaction.The findings,interpretations and conclusions expressed herein are a result ofa collaborative process facilitat

6、ed 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.2025 World Economic Forum.All rights reserved.No part of this publication may be reproduced or transmitted i