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The Agricultural sector is moving towards data-driven transformations. Farmers and traders are moving towards technological advancements, adopting data analytics and smart farming technologies.
Issues in Agricultural Business
One of the most important
and great pain points in agricultural business is to predict events that will
show the results.
There is a great pressure
on the farms that are within the markets due to rising production costs.
According to research, the
global population will be approximately 9.5 billion by 2050, up from 7 billion
at present adding great pressure to the market.
Simply increasing the land
cannot be a feasible solution for many farmers to grow more crops. Hence,
technology plays a vital role in making the better use of available space.
How IoT and Predictive Analytics can solve the problems
Data can be collected from
these agricultural businesses thereby leveraging technological innovations for
better surveying.
With the help of IoT
devices we can analyse the
status of the crops by the capturing real time data from the sensors.
By collecting data from the
sensors and applying predictive analytics we can get insights that help to make
better decisions related to harvesting.
Conclusion
With the growth of
population at a rapid pace could mean that every agribusiness needs to increase
their productivity over the next 35 years and hence with the help of predictive
analytics even the most specific problems can be matched.
In the era of smart
agriculture, IoT and Big Data analytics can help power
efficient operations around the world.
Combining IoT with
analytics in agribusiness can help get accurate predictions for market and crop
conditions thereby increasing their yields and profits.