From the Stage at Fruit Logistica 2026: Rethinking Freshness with 500,000 Data Points

At Fruit Logistica Berlin 2026, we presented insights from more than 500,000 non-destructive fruit quality scans collected across global growing regions, multiple seasons, and every stage of the supply chain. What this dataset reveals is simple but consequential: most quality control systems are built around averages, while the real economic damage comes from the extremes. Variability within a single orchard block, a single tree canopy, or even within a single lot is far greater than traditional small-sample testing captures. Those unseen outliers are what drive uneven ripening, storage failures, and the “fruit lottery” experience consumers increasingly reject.

In this talk, we break down what large-scale representative data tells us about maturity distribution, dry matter, Brix, and internal variability, and why nondestructive near-infrared screening is enabling a shift from limited sampling to high-volume insight. The takeaway isn’t about a single instrument. It’s about a mindset change: better decisions require better distributions, not better averages. Watch the full presentation below to see how expanding data capture is reshaping harvest timing, lot segregation, storage performance, and ultimately consumer trust.

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