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CNH Industrial acquires AgDNA

CNH Industrial has acquired precision farming software company AgDNA, empowering farmers and agribusinesses to consolidate a wide range of agronomic data streams into a single platform, to facilitate expedited decision making.

The acquisition of AgDNA will enable CNH Industrial’s customers, and those of third party agricultural machinery, to benefit from AgDNA’s single point data integration, mapping and analytical tools.

All data into one platform

Paired with CNH Industrial’s agricultural brands’ fleet management telematics, the combined solution will empower farmers and agribusinesses to consolidate a wide range of agronomic data streams, arising from a range of inputs such as machine, agronomic and third party data – including crop prices and weather information – into a single platform, to facilitate expedited decision making.

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The acquisition of AgDNA complements CNH Industrial’s existing range of precision farming software solutions partnerships. - Photo: CNH Industrial
The acquisition of AgDNA complements CNH Industrial’s existing range of precision farming software solutions partnerships. - Photo: CNH Industrial

As this open platform works across data sources and brands, it effectively standardises all data inputs, making it possible for mixed fleet owners to view all data in a uniform manner in one place.

Farmers to continue to control all data

According to CNH Industrial, farmers will continue to control all data utilised by the system as well as maintaining the ability to use the variety of in-house and third-party applications that best suit their farming operation.

The AgDNA Farm Management Information System (FMIS) will be commercialised from Q4 2019 onwards, initially in North America, through the Case IH and New Holland Agriculture dealer networks.

It is to enhance the agronomic feature-set capabilities of Case IH AFS Connect and New Holland MyPLM Connect and to represent another step in bringing the brands’ dealer networks closer to their customers enhancing overall farming productivity through decision-making efficiencies.

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