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What are the economic challenges of Smart farming?

The agriculture industry has excessively grown in recent years. It is anticipated to continue to evolve in the coming years- thanks to agricultural and marketing prospects offered by big data, advanced techniques, and the growth of the IoT under Smart farming.

Predictive analysis has evaluated that world food production will have to rise by 70% by 2050 to cater to a projected population of 9.1 billion under IoT solutions

Akenza

You may rapidly and without code construct your data path using the data flow. You may save time by creating a general data processing pipeline from the devices through connectivity, data normalization, and your desired output application.

Challenges:

Connectivity and Bandwidth problems

Managing data magnitudes

The steep learning curve

Why does Smart farming matter to farmers?

With the availability of a wide range of innovative digital technologies and tools in the market, it does not make sense to follow the traditional and obsolete practices that involve personally inspecting huge farms and managing different types of crops and food production under Smart farming.

Integrating data, automation, and Smart methodologies into agriculture helps farmers to take better care of their farms, mitigate risks, reduce costs and increase profitability under IoT solutions. 

Successful adoption and implementation of precision agriculture contributes to a healthier environment, increased food availability, and keeps food costs reasonable to end consumers under Smart farming.

Below are some opportunities that farmers are presented with within a Smart farming system are:

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