Land-use change
Map origin, conversion risk and land-cover change across supplier footprints.
Sustainability Agent
Measurement, reporting and verification
Move from commitments
to evidence on the ground.
Connect supplier identity, field practices, land and climate signals, and measured outcomes into an explainable evidence system.
Evidence architecture
Every claim connected to place, time and method.
Cropin links declared practices with geo-tagged field evidence, Earth observation, model outputs and verification workflows.
01
Baseline
Define farms, suppliers, practices and starting conditions.
02
Observe
Collect field and remote-sensing evidence through the season.
03
Measure
Quantify indicators using consistent methods and models.
04
Verify
Review exceptions, confidence and supporting evidence.
05
Report
Produce traceable outputs for enterprise and assurance teams.
Intelligence domains
One view across environmental and supply-chain outcomes.
Water intelligence
Assess water stress, irrigation practices and crop-condition response.
Regenerative agriculture
Track adoption, continuity and field evidence for priority practices.
Climate resilience
Measure exposure, intervention and outcome across changing seasons.
Supplier evidence
Connect plots, growers, materials and practices to enterprise reporting.
Audit trail
Preserve method, source, timestamp, confidence and review history.
Research proof point
Can hyperspectral intelligence make agricultural emissions more observable?
Cropin explored PRISMA imagery for methane-related spatial signals over rice paddies, with PRISMA and Hyperion supporting the broader greenhouse-gas feasibility assessment.
Explore the rice-field methane study ↗