Leaf is the unified API for farm data, enabling you to add farm data from all major machinery platforms to your digital product through Leafs single API. Leaf simplifies the process of creating data connectivity in food and agriculture, and allows companies to scale efficiently and at a significantly lower cost than if they were working with data providers directly.
Ag data providers routinely change their APIs and data structures several times per year, requiring ongoing maintenance to deliver the additional value these updates provide to your customers. Companies rely on Leaf to decrease costs and improve the performance of their client-facing technology and business applications.
Within Leafs unified API, the Machine Data File Translation Service accepts .zip files with proprietary machine data, detects the specific file types, translates the proprietary operation datasets, and returns point-by-point Standard GeoJSON dataset, a summary of the operation and PNG maps of the desired properties associated with operation. With Leafs Machine Data File translation service, your company becomes compatible with all major agriculture machine file types such as John Deere, CaseIH, Climate FieldView, Trimble, etc.
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 other 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, these 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 providers without needing to worry about the complexity of each individual provider.
Highlights
Translate Machine data files from any source. .dat, .cn1, isoxml, .agt, .shp, .2020, .ilf, GS3? There are many different proprietary machine data formats! The good news: you can use Leaf to translate any of them to standardized and consistent GeoJson.
A single integration to connect with all major machinery platforms. Get consistent, aggregated, and standardized data from all major machine data brands in a simple JSON response.
With Leaf Alerts you can be notified when something happens or changes instead of needing to repeatedly query for changes. Leaf Alerts support events that happen within Leaf and events that happen within supported 3rd party software.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This contract has one pricing dimension: acres. You pay based on the number of acres submitted for machine data file translation. Pricing scales with the volume of acres you process. The more acres you submit, the higher your total cost. This translation converts machine data files from different equipment brands into one standardized format for planting, application, harvest, and tillage operations. There are no separate tiers or instance sizes to choose from. Your cost tracks directly with acreage under a single unit-based measure.
Top-of-mind questions for buyers
What counts as one acre for billing under this contract?
You are billed on the number of acres you submit for machine data file translation. Each acre of field data processed counts toward your total. The count tracks the acreage tied to your planting, application, harvest, and tillage operation files, not the number of files or fields.
How does my cost change if I submit data from more equipment brands?
Your cost tracks acreage, not the number of brands. Submitting files from multiple equipment manufacturers does not add separate charges. The translation converts each brand's proprietary format into one standardized format. You pay based on total acres submitted, regardless of how many providers those acres come from.
What operations does the acre-based translation cover?
The translation covers tillage, planting, application, and harvest operations. It converts machine data files from different equipment brands into one standardized format. Each acre you submit is processed across these operation types. There are no separate charges per operation type; billing is measured only by acres submitted.
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