We often approach FieldView wondering how it can benefit us. But like any other system, what we get out of it depends on what we put into it. Of course, I’m talking about data. Just like your machinery needs the right fuel in order to function, any digital farming platform depends on high quality data to do its job well. The best part of this equation is that there are simple steps you can take to maintain your data integrity so that you—and FieldView—can optimize your results and take your operation to the next level.
You might be surprised to learn that farmers aren’t the only ones who use and benefit from FieldView. In fact, data scientists like me at the Climate office also use FieldView to assess and improve Bayer’s product innovations. To do this, my colleagues across our Climate Science team invest in, design, execute and assess numerous highly-controlled research experiments per year alongside our network of internal and contract farmers. It’s an immense undertaking, but FieldView helps keep us all on the same page by providing plug-and-play planting prescriptions via the FieldView Cab app, evaluating in-field performance through yield analysis reports and even improving how we collectively harness the power of field data.