Post by Athena Infonomics
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AI can only respond to what it knows. But in agriculture, some of the most important realities are still missing from the data: tenant farmers, women farmers, fragmented land records, local risks, and context that does not always fit neatly into official systems. In this episode of Grounded Intelligence, Soumya Alamuru, PhD, Senior Consultant, and Michael Minkoff, former director of AI & DPI services from Athena Infonomics, join David Bergvinson and Jawoo Koo to unpack why the future of agricultural AI depends on better, more representative data. The discussion covers shared agricultural data corpora, data governance, fragmented data systems, and how locally grounded AI models can deliver advice that is more accurate, trusted, and relevant for smallholder farmers. The episode also draws on examples from Andhra Pradesh, including AP AIMS flood alerts and farmer-level data collection, to show how data can shape more practical agricultural decision support. Listen to the full conversation below: AGX AI #AgriculturalAI #DigitalAgriculture #SmallholderFarmers #ResponsibleAI #DataForDevelopment #AIForGood #AthenaInfonomics
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