Leafs product is a unified farm data API. Companies use our API to send and receive user-permissioned data with other companies in a consistent, standardized way.
Leafs Machine Data Translation service accepts .zip files with machine data files inside, detects file types, translates the proprietary files, and returns geoJSON summaries, full point data, and maps of the operation. With Leafs Machine Data Translation service you can become automatically compatible with all major agriculture machine file types (50 and counting) and focus on building new value with the data. Companies of all sizes rely on Leaf including the largest food and agriculture companies in the world.
For example, if you wanted to get the date a field was planted, you could access this information from John Deere, Climate Fieldview, AFS connect, or machine data files stored locally in .jdl, .dat, .cn1, .agdata, .isoxml, or more than 50 other proprietary formats. These data sources all store data in different, proprietary ways, have different authentication and hierarchy structures, dramatically different API design, and different abstraction concepts (season-boundaries vs. static field boundary) so your company would need to build and maintain functions to navigate and translate through these different structures. In addition, the data sources will change their APIs and data structures several times per year. With Leaf, your company can connect once to Leafs API and retrieve and send data across all providers without needing to worry about the complexity of each individual provider.