AI in agriculture: Where we are and where we’re going

In this episode, Steve Nicholson, Head of Crops for North America, and Al Griffin, Senior Data Analyst, discuss the evolution of artificial intelligence in agriculture. They break AI into three practical capabilities, explore opportunities ranging from farm-office workflows to drones and laser weeders, and explain why human judgment, practical applications, and well-organized data will remain essential as the technology develops. The key takeaway: Farmers do not need to chase every product carrying an AI label, but waiting to improve data collection and organization is no longer a neutral strategy. The value of future AI applications will depend heavily on the quality of the information available to them.