AgriSpect AI

1.

AgriSpect AI

2.

Have a detailed analysis of
the coverage of each row
and the variability on the
plot.
Learn how many actual crop
hectares you have on your
sowing area to adjust your
productivity estimation.
Take your scouting costs
down and increase the
reliability of your hectare
analysis to the fullest.

3.

Discover what your
productive potential is by
knowing exactly how many
plants you actually have and
how well distributed they are.
Make decisions based on
data from thousands of plants
distributed along your plot.
Understand your uniformity of
emergency and adjust your
fertilization strategy.
Check your planter’s work
results and assess the plantto-plant distance between
each sowing line that will
impact the harvest.

4.

Determine how the weeds are
spread on your plot, identify them
and know what the percentage of
affected area is. Choose better
your herbicide and adjust the doze
to make each application more
efficient and sustainable.
Decide whether to spray the whole
plot or only where necessary.
Assess the result of fallow before
sowing and adjust your planning.

5.

Get a better assessment
of the disease incidence.
Make decisions based on
evidence from your plot
and reduce your costs.

6.

Complement your analysis with
Sentinel’s satellites. Analyse NDVI,
NDRE, MSAVI, RECI indexes or NDMI
humidity index.
Perform a daily check of the evolution
of temperature, rain, ground humidity
and monitor your crop closely at the
same time; to make decisions now or
understand what happened previously,
to take fewer risks and look after your
plots all the way.
Use processed images, weed maps,
crop structure and plant population to
analyse and define the best fertilizer or
spray strategy, by generating
prescriptions that streamline the use of
products. Decide whether to apply the
product everywhere or only where
necessary.