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Monotoring Crop Health Using Drones and IoT

Have you ever noticed that there is a portion of your farm that's highly productive, another part of your farm is Moderately productive, and other parts of your farm is poor with regards to production? Do you know why? Are you aware of the solutions to that? Great, relax and read on!.

I will try and explain it in the simplest terms possible.

Every piece of agricultural land however small or big it may be has varying capabibilities in terms of yield. This means that, some part of your land will give you a higher yield while some parts will give you a lower yield. Therefore, a particular map can be drawn on your farm with regards to how much harvest was collected from each location of your farm. 

A better way of knowing how well each part of your farm is doing is by monitoring crop health. Crop health data can be achieved through use of drones. Drones equiped with special cameras take several NDVI images all over the farm and such images upon analysis will give clear map of the farm with regards to distribution of its fertility. 

Data from NDVI images help in developing Variable Rate Application maps that helps in enabling the farmer to understand the exact requirements of each location of their farm.

With the advancement of precision agriculture, ndvi maps from the drone imagery are used in generation on Variable Rate application maps (VRA maps)  that are fed to precicion equipment such as sprayers, spraders and tractors. This enables the systems onboard to determine how much farm input is suitable for a particular location of the farm

The use of drones in generation of  NDVI MAPS is a common phenomenon and is yet to be absorbed by farmers especially in African region. Drones are Revolutionizing Agriculture, we just can't see it yet!

By
Eng. Mutai
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