Digital t echnologies in agricult ure and rural areas stat us report

Int.J.Curr.Microbiol.App.Sci (2018) 7(12): 2122-2128 
2123 
crop. On an average, a 30% increase in crop 
yield per ha has already been witnessed in 
comparison to the previous harvests. The 
various areas where the solutions for 
benefitting agriculture involving cognition 
possess knowledge are furnished below. 
 
The 
Internet 
of 
things 
(IoT) driven 
development 
There are massive volumes of data getting 
generated each day in structured and 
unstructured format. These data are regarding 
weather pattern, soil reports, new research, 
rainfall, vulnerability to pest attack, imaging 
through drones and cameras. IoT solutions 
relating to cognition would sense, recognize 
and yield smart solutions to enhance crop 
yields. 
There are two primary technologies deployed 
for intelligent data fusion, namely proximity 
and remote sensing. The important application 
of these high resolution data is for testing the 
soil. Unlike remote sensing, proximity sensing 
doesn’t need sensors to be built into aerial or 
satellite systems; it only requires sensors that 
are in contact with the soil at a close range. 
This facilitates in the characterization of the 
soil based on the soil beneath the surface at a 
particular region. 
The 
hardware 
solutions 
like 
Rowbot 
(concerning to crops like corn) has already 
begun pairing software that collect data with 
robotics to develop the best fertilizer for the 
cultivation of corns in to maximizing the most 
possible crop yield. 

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