 India today is the most populous nation and 55% of this population is engaged in agriculture. Almost 85% of these people are small holding farmers. The challenges of these farmers are one, they are struggling to really get an institutional finance because they don't really have credit history. Second, they are the highest risk takers considering the challenges of understanding the market supply dynamics and third, almost 40% of the forced harvest or the food produce is getting wasted. Mainly on account of not enough storage available and logistics challenges. See for our India, Centre for Food Industry Innovation started a big initiative called AI for Agriculture Innovation, AI for AI to transform agriculture ecosystem solving some of these fundamental challenges. We looked at how AI technologies can play a bigger role. We are predominantly focusing on three big buckets of use cases, technology like remote sensing, IoT sensors to optimize the use of fertilizers, pesticides, better irrigation or better water usage, using AI based fintech applications to provide digital advisories to the farmers at a crop level, improve the market access to the farmers, connecting farmers directly to the markets and to enable finance and insurance for the farmers. The framework that we came up needed to be tested and validated on the ground. We worked with the state of Telangana and identified one district, Khaman, which is a chili growing belt over the last 14 months we have seen, 8% yield improvement because of the better practices that the farmers were using on the farm. Second, they could improve the revenue by 11%. Now we are looking at how do we expand this pilot across more crops and more geographies with more use cases. C4IR network today is a good example where we can learn from various centers how can we really bridge in and make some of these toolkits available, considering that the issues are pretty similar across many other developing economies. We see this pilot opening so many opportunities and really want to see how do we scale globally from here. AI for AI was a perfect example of how public-private partnerships with the industry and with the government could really transform agricultural ecosystems.