Tillr
/tillr
A trusted standard for understanding agricultural land.
GroundScore turns the GroundTruth record into a standardized intelligence layer, while keeping record confidence visible.
Make an important metric easy to understand.
Use this block to explain a score, index, benchmark, or performance framework.
GroundScore reads the property through four core layers.
Each layer contributes context to the record; confidence depends on completeness and recency.
Soil
Chemistry, texture, salinity, organic matter, and related field conditions.
Water
Source, allocation, chemistry, and water-related constraints.
Tissue
Plant measurements interpreted within the appropriate crop window.
History
Seasons on file, prior scans, observations, inputs, and prior reads.
Record Confidence
Reported separately so users can see how complete and current the record is.
GroundTruth
The source record remains visible beneath the score.
Collect once. Read many times.
A maintained record can be rescored as new field information arrives.
Collect
Build the soil, water, tissue, and history record.
Score
Roll the record into the GroundScore pillars.
Identify Gaps
Make missing or off-window layers visible.
Maintain
Update the record as new seasons and field events are added.
GroundScore starts with GroundTruth.
Start with the agricultural record, then let the score become more useful as the record grows.