Find local evidence in seconds.
Stop re-reading the same meta-analysis. See what's been tested near your site, and where your next trial would add the most.
Explore research →Four decades of field trials, pinned to the ground they were tested on. See what's proven, where it held up, who paid for it — and what no one has studied yet.
We geolocate field trials and meta-analyses to the soils, climates, and counties where they ran — so evidence from across the road counts more than evidence across the world.
Yield, soil carbon, runoff, profit. Read what a practice actually moved, how confidently, and under which conditions — pulled into one comparable layer.
Where the map goes dark is where the next dollar matters most. Surface untested practices, regions, and crops — and route funding to the questions still open.
OpenAgData turns public research into structured, place-aware evidence: published studies, mapped field sites, soil and environmental context, research hubs, and funder metadata organized into one reusable layer.
Agriculture needs AI that understands where evidence came from: the soil, weather, water, crop system, practice, and measured outcome. We are building that public data layer so decision tools can cite local evidence instead of guessing from generic text.
Evidence stays tied to the soil, water, climate, and management context where it was measured.
Every visible number starts from publication, hub, field site, or funder metadata.
Structured signals make the layer usable for future Ag AI that supports real field decisions.
Stop re-reading the same meta-analysis. See what's been tested near your site, and where your next trial would add the most.
Explore research →See what your portfolio has already proven, where evidence is thin, and which regions and crops are still uncovered.
View funding map →Extension offices, experiment stations, and on-farm networks — contribute trials and reach the people acting on them.
Join the program →Share a trial, claim your station, or build a profile. Every study you add sharpens the picture of what works, where — for everyone.