Until now, the problem for many customers was that all manufacturers of GNSS-based steering systems used different formats for the exchange of geodata. As a consequence, there is a lack of compatibility between the waylines and field boundaries of different manufacturers. However, especially with new requirements such as Strip Till or Controlled Traffic, the practical significance of this exchange of data is growing.
FarmFacts, a company jointly owned by BayWa AG and the AGCO Corporation (NYSE: AGCO), have now developed the new NEXT Wayline Converter - powered by Fuse®.
This new, web-based tool enables the converter to convert data from one brand to another. This enables the farmer to view geographical data from different sources and to exchange data between the various different machine terminals, e.g. straight-line waylines or field boundaries.
The new wayline converter is able to process existing manufacturer-independent data formats from the following guidance systems:
- AGCO’s VarioGuide™ (Fendt)
- AGCO’s Auto-Guide™ (Challenger, Massey Ferguson, Valtra, Gleaner)
- Topcon Auto Steering System - supports AGCO C 3000 Shape files, only version 3.17 (no support for the aftermarket version 3.22)
- CNH - supports Voyager I & II
- Trimble Guidance Systems - supports AgGPS
- John Deere AutoTrac System
- supports GS3 2630
- supports John Deere Greenstar™. The data can be imported and can be converted into all AGCO data formats; however, AGCO data cannot be converted into the Greenstar format.
- It remains the case that Greenstar™ data can only be converted into KML, Shape and ISOXML data formats.
- ISOXML & ISOXML Version 2 file format (taskdata.xml)
The manufacturer-independent use of waylines delivers farmers and contractors a substantial reduction in operating and tooling costs.
AGCO customers are provided with access to the NEXT Wayline Converter and log themselves onto the FarmFacts website, where they can convert their data quickly and easily. NEXT Wayline Converter will be available to all Fendt customers after Agritechnika 2017.