Hi James. This is Eddie, the CTO of Raptor Maps. We figured out the combination of wavelength bands we need, and combining that with image recognition we can identify particular diseases. We had to do a lot of iterations and correlations to chemical samples to build up confidence that this can actually work. We can only do a few specific conditions today in potato farming, so I can't say this works for every disease everywhere, but we'll keep getting better over time and are working quick to do so. The sensor package is optics-lab style cameras tuned for wavelengths we know have the best signal to noise ratio.

With regards to harvest monitoring, by knowing the exact yields and locations we can correlate remote sensing data to the yield. This type of information will help with management in the coming seasons. But it can also help today. For example, you want to move your lower-quality inventory more quickly so it doesn't affect the good stuff, so you want to put it by the door of the storage facility.