Agricultural research produces data faster than spreadsheets or legacy systems can track it. LabKey’s agriculture LIMS keeps every sample traceable from field collection through analysis to final result.
Soil cores from a trial plot, tissue samples from a breeding herd, seed lots moving through a multi-year variety trial: each one carries its own record in LabKey LIMS forward to the result a researcher or regulator reviews. Configurable workflows adapt registration, prep, and testing to each study type, so the field notebook entry and its lab result live in one record, not two.
Samples stay linked to their origin from field to lab, reconciling field and lab terminology with full traceability. Trial protocols and field notes attach directly to each sample, keeping multi-season programs reproducible. Soil, plant pathology, and genomics workflows each configure their own fields and workflows without waiting on IT. NIR, spectrometry, and sequencer results get linked to the correct sample every time. Multi-site, multi-PI research shares one system while each team's data stays visible only to them. Every action is time-stamped and exportable in our audit log, avoiding a rebuilt paper trail for grants and audits.
Yes. Fields, workflows, and metadata schemas configure independently per study type, so a soil lab and a genomics team can run structurally different workflows in the same system without waiting on IT to build it.
Field data comes in through bulk import or an API connection from whatever collection tool your team already uses. LabKey LIMS for Agriculture becomes the system of record from that point forward, matching field-recorded sample IDs to lab records even when field and lab teams use different terminology for the same thing.
Yes. Project- and folder-level permissions let each team see only their own data while running on shared infrastructure. It's the same model research institutions use to keep grant-funded programs separate without standing up a new system for each one.
Multi-year trial and study data lives in one connected system rather than resetting each season, so year-over-year comparisons don't require reconciling separate spreadsheets or database exports.
Onboarding is built to hand off quickly rather than requiring deep system training. Customizable views let new staff work within their specific role without needing to understand the full system architecture first.
