Cloud service for Smart Farming

Today's farmer works digitally. Smart Farming’s goal sees modern order data management promoting the planning and automation of daily work processes as well as making the use of working time, fertilizer, and agricultural machinery more efficient. For this, AGCO Fendt uses Device Insight's independent cloud service. Read more in our case study.
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Case Study AGCO Fendt
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In our case study:
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AGCO Fendt relies on a mix of future-oriented Smart Farming solutions.
Benefits

Modern data management in farming

Device and order data management
Networking of agricultural machinery to documentation systems
Clear data visualization
Reliable data exchange
Rapid
position detection
"In collaboration with Device Insight, we were able to set up our job data management exactly the way we envisioned it. The system guarantees seamless data transfer between our agricultural machines and the farmer’s PC software. Our customers’ response to features such as streamlined options for applying inputs in an optimized fashion, working documentation, and the transmission of waylines and field boundaries for lane guidance, have been overwhelmingly positive."
Christian Zecha
Global Product Manager, AGCO Fendt
Agriculture 4.0

How AGCO Fendt is using the Internet of Things to bring intelligence to its agricultural equipment and processes.

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Case Study AGCO Fendt
Read now!
Good to know

Smart Farming - FAQs

What lies behind Smart Farming?

Smart Farming employs modern technologies to enhance the performance, efficiency, and sustainability of agricultural operations. By utilizing sensors, drones, GPS, artificial intelligence, and the Internet of Things (IoT), real-time data is collected in Agriculture 4.0. Analyzing this data enables informed decision-making and more efficient utilization of resources such as water, fertilizer, and energy.

Many agricultural machines are already highly automated and offer various interfaces for implementing Digital Farming. However, one of the challenges of digital agriculture lies in network connectivity, as many devices operate over a wide area. A primary goal of Smart Farming – also known as Future Farming – is to overcome this challenge and integrate various agricultural machines into an integrated network.

Where is Smart Farming already being used?

The application areas of Smart Farming can be divided into four categories:

In Precision Farming, farmers utilize data from various sources such as sensors, satellites, or drones to precisely tailor the application of seeds, fertilizers, and pesticides to the individual needs of specific plants or small areas. This more precise application saves costs, supports compliance with fertilizer regulations, and contributes to environmental protection.

In Livestock Monitoring, health parameters of animals such as movement patterns, feed intake, and temperature are monitored to improve well-being and detect diseases early. As part of a Smart-Corp approach, plants are also monitored using sensors to optimize their fertilizer needs.

Autonomous agricultural machinery and robotics are indispensable in digital agriculture – whether as a tractor, harvester, or in processing. Machines that largely or even completely take over tasks autonomously reduce labor costs, increase efficiency, and partially compensate for the labor shortage.

Climate control, ventilation, and lighting – Smart Farming manifests itself in various aspects, and modern farms are optimally managed through intelligent building management. Greenhouses, barns, and warehouses are operated particularly energy efficiently.

Whether in the field, in the tractor, or on the farm – Smart Farming is an investment in the future and offers numerous opportunities for the implementation of new technologies.