Rebooting AgTech Software with AI, with Rhishi Pethe

We are certainly not alone in our interest in how artificial intelligence will shape agriculture in the coming years. We’ve been learning out loud about both the tech that might emerge, but also about how AI might shape existing tools, especially agtech software. In our recent report, Yield Maps Killed AgTech Software, Can AI Fix It?, we put forward some of our research and theories, and we got a ton of great feedback. Today, we’re going to respond to some questions and discuss further learnings from the report. 

Joining me in the task is both my co-founder Matthew Pryor and Rhishi Pethe, author of Software is Feeding the World. Together, the three of us tackle topics including: 

  • What we got right, what we got wrong, and the kinds of things (like AI business models in agtech) that we’re still thinking about
  • The existing problem with ag software tools like yield maps, and how AI may hold the secret to unlocking real value for growers
  • When (or whether) generative AI tools will be reliable enough to trust, and when (or if) farmers will then buy-in


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The information in this post is not investment advice or a recommendation to invest. It is general information only and does not take into account your investment objectives, financial situation or needs. Before making an investment decision you should read the information memorandum and seek financial advice from a professional financial adviser. Whilst we believe Information is correct, no warranty of accuracy, reliability or completeness.

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Key takeaways

  • [00:06:04] Will AI be for growers or their advisors first?  
  • [00:16:01] The models that will (and won’t) work for AI software in ag
  • [00:22:45] Is AI too unreliable to be useful in ag?

Get this report