What are the doors that opened? What unexpected good things have happened?

Well, first of all, the book...

I even I was working with a scribe.

She was out of Italy.

She's one of your people.

And she was actually on an organic olive farm.

So we had these wonderful.

What do you say to those people? What do you recommend?

I would say that's an applicable way we're using it already on the farm, right, Rob?

Yeah, I, I think that's accurate.

It, it's about decision-making, Jesse, but I wanna break this down a little bit because I, I still think there's a heavy human element in agriculture that people sometimes, uh, underestimate.

When you are thinking about a decision, there's two parts of a decision.

One is prediction.

Prediction is the assimilation of data.

So think about the amount of data coming off a farming operation.

Rob, let's talk about, you wanted to discuss this, how can we apply AI more in agriculture? What are some things we can do to apply AI on the farm and ranch? Let's talk about it a little bit.

But do you think that is overblown? Or is this a legitimate fear? Or how should producers be looking at AI right

now? I look at it this way.

If you think about a decision that needs to be made on the farm or in any business, you have two sides to the decision, Trevor.

You have what's called prediction.

Prediction is the amalgamation or the aggregation of information for a variety of disparate sources.

So on a farming operation, you could think about soil moisture probes.

You could think about weather stations.

But I'm curious from your perspective, if you see any blind spots right now in the industry.