Save Time With Accurate Plot Boundary Definitions and Geo-Positioning
Sometimes it's easy to see plot boundaries. Sometimes it's not. If you can't visually identify plot boundaries from an image, your software probably can't either.
In this webinar clip, SlantRange CEO Michael Ritter discusses how SlantRange technology tackles this problem to give our clients more accurate information and save time. The transcript, lightly edited for clarity, follows below.
More Accurate Information and Reduced Workflows Through Precise Geospatial Alignment
This is a problem that I admit we underestimated we got when we got started here: How do you accurately assign your results to individual plots?
In many cases, individual plots are quite easy to identify. You can have software go through and auto-detect all these trials. Then you make sure you're getting all your statistics assigned to the right buckets for each plot.
Sometimes they're not. This is another trial, corn later-season. If you look at that image in the middle, can you visually identify where the plots are? If you can't, it's going to be hard for automated software to identify where the plot boundaries are.
It's not a trivial exercise to identify exactly and to match the images with your plot boundaries to make sure you're extracting the right information to the right place.
So in order to solve this, there's a mix of things that we're doing.
One thing we do is pull your plot boundaries from a variety of sources. Some customers give us a spreadsheet description of their plot boundaries. Sometimes we pull them directly from planter files or their trial management software. In some cases, we do it from the imagery itself.
Technology for More Accurate Geo-Positioning
Pulling in this information on the accurate geolocation of individual plots is a critical step, and making sure it aligns with the imagery is another critical step.
As far as that problem goes, what we use in our sensor systems, is a very accurate positioning and navigation system. So we have an RTK-based GPS onboard combined with the unique navigation solution so we can accurately place the images onto those plot boundaries and make sure we're assigning the right results to the right plots.
At some point, it's easy to talk past this and say, Oh, you know, we'll take care of the geo-positioning accuracy. It's not something we need to worry about. But it really is.
It's a real obstacle to automation, to make sure that you're assigning your plot data accurately, and it's something we have invested a considerable amount of time into solving.
To learn more about SlantRange Aerial Phenotyping, including information on applications, data-driven methods to improve your research trials, and real-world examples, view the entire webinar here.
You can also contact our team directly to discover how we can help your organization accelerate your product development cycle.