by Charis GalanakisPosted on
Posted in Research

GL-VitiLab

A laboratory-supported vineyard intelligence turning field, winery and analytical evidence into practical low-input decisions

Structured scenario logic connects operational drivers with water stress, disease pressure, harvest timing and resource-efficiency priorities

Diverse factors shape food chain resilience, producing measurable changes in food loss and waste levels

Field measurements and expert-reviewed AI assistance support timely interpretation of vineyard conditions and decision confidence

Shifts in drivers influence all pillars of food security: availability, access, utilization, stability, agency, and sustainability

What GL-VitiLab brings to Wine-sector Decision Making

 

Integrates vineyard observations, winery records and laboratory results into a single evidence chain for seasonal decision support

Supports irrigation, plant-health and harvest-window decisions through structured indicators adapted to real wine-sector conditions

Uses WASTE-SEC-based scenario interpretation to translate operational drivers into clearer sustainability and resilience priorities

Applies bounded AI assistance only for report structuring, with all recommendations reviewed by GL experts before use

Produces traceable outputs, decision logs and replication material for future uptake by wineries, cooperatives and advisors

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