Inside AsembleAI: DeepTech, AI & Science
EP 60: Feeding the World with AI: Inside Syngenta's Data Playbook
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Show notes
Agriculture is the oldest industry in the world — and one of the least represented at AI conferences. In this episode, Sam talks with Jeremy Groeteke, CIO of Syngenta's vegetable division, about how a company operating in 90+ countries with 50,000 employees is building AI infrastructure to help feed the world.
Topics covered:
Syngenta's approach to merging AI, data science, and physical science in agriculture
Using computer vision for early disease and pest detection in crops
Why general-purpose LLMs like ChatGPT and Claude give farmers overly generic recommendations — and why domain fine-tuning matters
The shift from data lakes to data mesh at Syngenta
Single-agent vs. multi-agent AI architectures — and why accuracy often favors single agents right now
The "metadata problem": why having data isn't enough without context about how it was collected
Cropwise AI — Syngenta's tool for turning insight into actionable recommendations
Why agriculture's long biological cycles make it a poor fit for typical VC/tech timelines
Advice for technologists looking to break into agtech
Guest Bio:
Jeremy Groeteke is CIO for Syngenta's vegetable division, overseeing digital strategy for an organization that provides crop protection, biologicals, digital tools, and genetics to growers in over 90 countries.
Connect:
Find Jeremy on LinkedIn to learn more about Syngenta's work in AI and agriculture.
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