Leaf Agriculture software

Every major agricultural machinery manufacturer uses their own proprietary data format for farm data collected by their machinery, making it hard for farmers to overlay different data layers from the same field and gain insights to inform better decisions. Leaf helps technology providers overcome this challenge by translating all proprietary data sets into a single, easy to read data format. By connecting with Leaf’s API, developers are able to access farm data from all major machinery manufacturers in a consistent, aggregated and standardized format.

Easy access to customer-ready images; Businesses that create API connections with imagery providers have to maintain all these APIs, and process the different data formats on their own server into imagery files that are usable. Businesses that use Leaf’s unified API are able to access processed and standardized crop monitoring data from a number of different sources, ready to be used in any geospatially oriented product or platform. Leaf takes care of the imagery acquisition, processing and infrastructure maintenance, taking a load off our clients’ engineering teams. Leaf’s imagery service allows developers to easily retrieve customer-ready images for any field in the world. Developers simply register a field boundary with a backfill date and imagery provider, then Leaf returns cropped, color corrected RGB, NDRE, and NDVI images every time an image is available.

Simplify Field Boundary Management; Without geographical location ag data is meaningless, as this is what ties it to other data points; seeing individual data points in the context of a field boundary however provides the ability to analyze and compare this data. Uniquely with Leaf Field Boundary Management, businesses are able to reconcile different boundaries across systems, match field boundaries across providers, and geospatially match ag data to boundaries. Without adding more complexity to your system through a universal field ID or other cumbersome systems, Leaf empowers you to manage the multitude of digital field boundaries in existence for most fields, and ensure you use the right one for each situation.