It is a great question to ask, and it's at the core of trying to drive digital agriculture. Individually as universities and with our research partnerships, both with farm networks and with layers of government, we're generating an enormous amount of digital information that's from the ground up, grounded in farms. It's at a point where being able to actually—I'm going to use some farming puns, I apologize—make some hay out of that becomes challenging because of the volume of the data.
What we're proposing, and what P.E.I. is on the vanguard of through the Federation of Agriculture, is putting some structure around how we house that data, how we integrate that data and how we then do the analysis of that data with some very sophisticated technologies that are now at our disposal through artificial intelligence, and then also—to Dr. Charlebois's point—have a human in the loop, a person who actually understands how some results from the study based on farm-level information can be translated into meaningful innovations that a farmer will want to adopt.
A key piece in that is the extension component in there. It's not enough to do the research and analysis. You have to have those partners who will be there developing the innovation with you so that it's commercially relevant in ways that matter to producers. We all know this. Farmers will believe technology when they see it up close in person. Again, it's the human in the loop.
Making sure that we have the means to turn that analysis into something that shows up on demonstration farms, either at a plot level or on a commercial scale, is going to be incredibly important in terms of mobilizing producers and giving them the confidence that this innovation is actually going to help them and mitigate the risk they might face.