GenerativeAI Strategy in Agriculture: What Can We Learn from Farm Management Software?
In Artificial Intelligence and the Supply Chain in a World of Converging Agribusiness Software I highlighted my view on the importance of where LLMs and generativeAI tools are positioned in the target audiences workflow.
What is noticeable to me surrounding the LLMs and generative AI being launched today is that they are heavily agronomic focused.
Bayer announced two weeks ago “an expert GenAI system to benefit farmers and up-level agronomists in their daily work. The company has been using proprietary agronomic data to train a large language model (LLM) with years of internal data, insights from thousands of trials within its vast testing network.”
Syngenta’s CIO and CDO Feroz Sheikh teased a Syngenta generative AI tool last week, that was agronomic focused.
Koppert announced in December an LLM for agronomic questions.
Bailey Stockdale of Leaf Agriculture has been doing a cool comparison of models, focused on agronomic questions.
Agronomy is important for crop production and farmer decision making, so it’s not surprising that emphasis goes to agronomy.
But I can’t help but be reminded of Farm Management Software. Every organization was acquiring farm management software in the mid-late 2010’s and there was a frenzy in of start-ups building their own.