Harvora™ methodology brief
Harvora methodology: from conditions to decisions
Harvora turns weather, crop context, phenology and field evidence into bounded probability distributions that support an operational decision without pretending to be the decision itself.
Direct answer
What this supports
Every output carries provenance, uncertainty and a declared target so a proxy is not mistaken for a measured outcome.
Intended for Growers and technical partners who need an inspectable model boundary.
Evidence and method
How the signal is formed
Published formulas, physical balances, heuristics and gated machine-learning artifacts share one response contract; applicability and evidence maturity remain crop-specific.
Evidence grade: SOURCED
Published scientific methods, faithfully implemented.
Boundary
How to read this evidence
Method reuse does not make every crop, region or surface equally field validated.
Sources and related evidence
Published 25 August 2026 · Last reviewed 25 August 2026 · Harvora technical review
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