Int.J.Curr.Microbiol.App.Sci (2018) 7(12): 2122-2128
2124
Identification of optimal mix for agronomic
products
Cognitive solutions
recommend the farmers
on the best choice of crops and hybrid seeds
which is grounded on multiple parameters like
soil condition, weather forecast, type of seeds
and pest infestation in a specific area. A
personalized
recommendation based on the
farm’s requirement, native conditions, and
data pertaining to
successful farming in the
past. The other external factors like trends in
marketplace, crop prices,
consumer needs,
requirements and aesthetics may also be
factored to enable farmers take a clued-up
decision.
Crop health monitoring
Remote sensing (RS) techniques along with
hyper spectral imaging and 3D laser scanning
are crucial to construct crop metrics over
thousands of acres of cultivable land. It has
the potential to introduce a revolutionary shift
in how farmlands
are monitored by farmers
from the perspectives of both time and effort.
This technology will also be employed in
monitoring crops throughout their lifecycle
including genesis
of report in case of
abnormalities.
Automation techniques in irrigation and
enabling farmers
Irrigation is one of the most labour intensive
processes in farming.
AI trained machines
aware of historical weather pattern, soil
quality and kind of crops to be grown, can
automate irrigation and increase overall yield.
Nearly 70% of the world’s
fresh water
resource is utilized for irrigation; such
automation can conserve water and benefit
farmers in managing their water probs.
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