Leaf Agriculture

A single integration to connect with all major machine brands (John Deere, Climate FieldView, CNH Industrial, AgLeader, etc.). It translates proprietary files into consistent, standardized JSON or GeoJSON responses.

Automatically reconciles and syncs field boundaries across different platforms. It uses a Merged Field ID to map inconsistent names and polygons from multiple providers to a single, accurate entity.

A purpose-built data lake that allows users to run complex, SQL-based agronomic queries across structured and unstructured data. This enables advanced analytics like identifying high-yield seed varieties or evaluating biological product performance without complex infrastructure.

Processes complete planting, application, harvest, and tillage datasets. It handles file conversion, geospatial mapping, and data deduplication automatically, updating records as new files are uploaded.

Integrates multispectral imagery from providers like Planet, Sentinel 2, and Sentera. It delivers customer-ready, color-corrected RGB, NDRE, and NDVI images through one unified endpoint.

Provides access to field-level historical and forecast weather data from all major global sources via a single API.

Enables developers to send seed, chemical, and fertilizer prescriptions back to OEM platforms (machinery monitors) using a single, cross-brand workflow.

Retrieves machine-specific telemetry (fuel consumption, engine hours, serial numbers) and simplifies irrigation data (water requirements and timing) into a unified format.

Specialized widgets and authentication tools that allow growers to securely connect their third-party accounts (e.g., John Deere Operations Center) to your app with zero front-end coding.

Matches and validates user-entered product names (seeds, chemicals) against a structured external database to ensure data integrity for supply chain and carbon tracking.