Field data and lab data, connected from collection through analysis.

Every result tied to where it came from.

A soil test result or a grain assay is only as useful as the provenance attached to it. When plot ID, treatment arm, crop variety, and growing season don't travel with the sample from field to lab — when that context is re-entered manually or simply lost in transit — the result exists in isolation. Breeding programs, agronomic recommendations, and variety selection decisions depend on data that can be interpreted in context, not numbers that have to be matched back to field records afterward.

LabKey's agriculture lab software handles the sample types and metadata structures that agricultural labs require: soil, plant tissue, seed, water, and grain — each configured with their own required fields and tracking requirements. Sample volume spikes during planting and harvest don't compromise chain of custody or force manual workarounds. Agribusiness R&D labs get multi-season data continuity across breeding programs and field trials. Testing labs get protocol documentation built into execution — step-by-step workflows with timestamped records, not reconstructed paperwork.

From distributed field stations to commercial testing facilities, LabKey centralizes sample data and results without flattening the data model. Field trial data from multiple locations, research seasons, and sample matrices sits in one searchable system — with the governance and access controls a multi-site operation requires.