AgEmerge Podcast 196 with Colin Hurd of MACH

Autonomous tractors are only the beginning. The next breakthrough in ag tech is a physical AI layer that can learn, adapt, and make farms dramatically more efficient without forcing every grower to become a robotics expert. Colin Hurd returns to the AgEmerge Podcast with a behind-the-scenes look at where ag autonomy really stands now, why retrofit solutions are only part of the story, and what has to change before self-driving machines become truly useful in the field.

From dusty harvest conditions that break today’s sensors to the opportunity for AI systems to preserve hard-earned farming knowledge, this conversation gets into the real bottlenecks - and the real upside - of the next five years.

Colin has devoted his career to leading innovative companies in the machinery industry. In 2016, Colin founded his second company, Smart Ag, which developed the first retrofit driverless system to automate tractors. After funding and growing the company, he led Smart Ag successfully through an exit to Raven Industries (NYSE:RAVN) in 2019. Raven was then acquired by CNH Industrial in 2021 (NYSE:CNHI). Colin stayed with Raven and managed business development until forming Mach in 2022.

Learn about Mach: https://mach.io/about-us/

Timestamps

07:08 - Why physical AI could transform the next 5 to 10 years on the farm

10:39 - Colin’s first startup and the soil compaction problem behind Track Till

12:06 - Why preventing compaction led him into autonomy

13:05 - Smart Ag, autonomous grain carts, and the Raven acquisition

14:34 - Building Mock by acquiring autonomy companies with complementary strengths

16:56 - Mach's thesis: OEMs can source autonomy instead of building or buying it all

18:18 - Why off-road engineering talent is hard to recruit and even harder to localize