So basically from day one, we knew
that the technology would be
commercialised in markets like Brazil, Argentina, Russia, Ukraine and of course
US and Canada where there's a lot of
larger farms and they're all
growing the major commodities that feed
the world. So these are the major crops
where we look at the problem about 60%
of the global losses are on these few
crops so that's where we can make the
most impact and help farmers get better profitability.
We start with
modelling crop disease using machine
learning and weather data and with
time we understood that more data
layers will bring a lot more value to
our analysis. And so the visual
layers are especially important so we
start adding satellite data because that
was quite available so then we
understood that we need actually to
develop a better imaging technology for
this use case but we did develop a
hardware very special hardware and it's
patented that can take images think
about a plane flying at 100 miles an
hour over a farm, you can cover ten
thousand acres an hour and get to a leaf
level resolution of each individual leaf
in that farm. The technology that's been
available for decades but only in
fighter jets and very very expensive
systems and only flying very high
altitudes and not low altitudes in high
resolution. So we actually had to develop
that from scratch and that's how we
received this patent, but we're not
relying on a specific camera we didn't
have to develop a camera we can use any
top- end camera system or sensing system. So we kind of can move with the industry
and move to different drones, we can move
to different cameras,  and add diagnostics to
that and get to the best possible
results in the field for our clients.
