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SAP Labs CIS: LoRa for Black Angus

SAP Labs CIS has presented a prototype solution for the animal herd monitoring system to one of the leading Russian meat producers. LoRa data transfer technology was chosen for the prototype and it is planned to use either a mobile or a permanent base station for information gathering. In case of the mobile base station, it will be mounted on a drone, a horse or a car; drinking bowls will be used, otherwise.


LoRa sensors operate in low energy consumption mode, capable to transmit a signal over a distance up to 5 km in open spaces, indicate an animal’s exact location, movement (accelerometer) and temperature, transit the gathered data into a farm management system (an application based on HANA Cloud Platform) where the information is analyzed and displayed on a map. If a critical situation happens, i.e. going beyond the animal field, case, activation, then the system creates alerts and sends messages.

Usage of drones allows to videotape fields and to count vegetative index, hence, the system will be able to propose to move cattle from exhausted fields to pristine pastures. The prototype has been based on the customer requirements and has been developed by the Globalization Services (GS) team together with the IoT Challenge team in Walldorf. It has also been substantially expanded by LoRa technology later.

From the Labs CIS the following colleagues have participated: localization product managers Oleg Bolgarin and Alexander Bolgarin, who have many years of experience in the operation of unmanned aerial vehicles, and students of Moscow universities Veronika Kotova and Ekaterina Morsakova, who did their summer internships in the CIS Labs.


Serious prototype improvements were due to the huge size of pastures and Europe’s largest livestock – more than 200,000 Black Angus animals that are raised in order to produce marbled beef.

The customer uses free pasture all year round in order to raise cattle, which requires uninterrupted operation of sensors and drones in the conditions of summer heat and winter cold, and causes the need for a mobile application for the operators.

  The prototype that uses LoRa technology was successfully presented to customer and hence the further product development and its testing on large volumes of data is planned.

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