Precision agriculture takes this age-old practice to the next level, using the power of the Internet of Things (IoT) to connect devices and data analytics systems.
1. Agricultural equipment manufacturer relies on iot
to help farmers improve efficiency and increase profits
Agricultural Equipment
Farmers have always been skilled at observing their environment: weather, soil, crop
readiness, and adjusting their planting, harvesting and other tasks based on measurements,
conditions and forecasts.
Precision agriculture takes this age-old practice to the next level, using the power of
the Internet of Things (IoT) to connect devices and data analytics systems. The result is
improved accuracy of agricultural management practices, enabling farmers to make smarter
decisions, such as what and where to plant, fertilize or spray.
A global manufacturer and distributor of agricultural and construction machinery is
capitalizing on the recent advances in IoT by outfitting their farming equipment with sensors
and telematics solutions to help farmers implement precision agriculture practices:
• Manage their fleet of machinery
• Track machines
• Gather real-time data on equipment status
The ability to monitor the farm equipment in real time enables farmers to program exactly
what and where each piece of equipment will plant, fertilize, spray and harvest. This saves
fuel, improves efficiency, and ultimately increases profits.
Control Center accelerates equipment
rollout and simplifies monitoring
Quickly rolling out connected machines in
emerging markets and monitoring them is a
key challenge for the manufacturer. Control
Center automates the IoT service lifecycle for
the connected equipment, and enables the
supplier to include a single, global SIM during
the manufacturing process. The global SIM
maps the lifecycle of that device to its supply-
chain process from factory to distribution.
The company reports that it has increased its
expansion of devices five-fold in the last year,
growing the number of connected machines
to more than 50,000.
Customer
Use Case
“Before IoT, collecting data was
difficult. For example, a farmer
takes 2-4 weeks to harvest, all
the while collecting data. That
information about the yield is
important for the agronomist
who is creating a fertilizer
prescription for him. However,
in the past, the agronomist had
to wait until the harvest was
done to get that data,” said the
product line manager.
CONFIDENTIAL