Intelinair Expands Digital Platform Connectivity for Farmers with CNH Integration
Key Takeaways:
- Improving access to timely agronomic insights for the entire 2024 crop season.
- Complementary technologies will make it easier and more streamlined for farmers.
- Support farmers and ag retailers with data-driven decision-making.
Intelinair, the makers of AGMRI and a leading ag data analytics company, announced today it has extended its digital connectivity options for farmers by integrating its digital platform, AGMRI, with CNH’s global operating platform.
Through this integration, farmer customers can easily export field boundary data, as applied, and yield data to AGMRI. Platform users that will have access include:
- CNH brands Case IH, through its AFS Connect platform
- New Holland, with its MyPLM Connect platform
As part of the collaboration, CNH customers will receive direct access to AGMRI’s agronomic full-season insights and analytics at the field level in a single platform. AGMRI Insights monitors and tracks in-season agronomic insights for emergence, weeds, crop health, and variable dry down. AGMRI Analyze monitors nine common yield-limited factors, enabling farmers to pinpoint and understand potential issues that may have impacted their yield during the season. This data-driven approach helps farmers make informed decisions for the upcoming crop season, ultimately contributing to improved efficiency and yield potential.
“Increasing connectivity options for farmers provides more ways to use technology to help improve efficiency on the farm and protect yield potential,” said Kevin Krieg, Director of Business Development at Intelinair. “This new connection is one more way farmers can efficiently get insights to make real-time data-driven decisions and inform the next year’s crop plan.”
Dan Danford, Precision Technology Partner Manager from CNH, commented, “By establishing connections with important partners like Intelinair, we aim to drive interoperability between the various systems and services our customers use to maximize the value of their data and actions in the field.”