Feb 18, 2026

IUNU and Priva integrate AI yield forecasting

IUNU and Priva have announced a partnership that integrates climate execution data from the Priva One platform with plant-level insights from IUNU’s LUNA AI system to provide rolling yield forecasts for commercial greenhouse growers.

The integrated solution is available globally to joint customers and is designed to improve week-over-week forecast accuracy by combining what actually occurred in the greenhouse with continuous crop monitoring. The companies said the system addresses challenges caused by unexpected harvest peaks and gaps that disrupt labor, logistics and sales planning.

“What truly impacts profitability is not whether a forecast is off by a small percentage. Growers can manage small deviations,” said Adam Greenberg, CEO of IUNU.

The platform uses executed climate data from Priva One rather than planned setpoints, paired with automated plant-level measurements from LUNA AI. The system learns continuously from each facility’s genetics, climate strategy and crop response rather than relying on historical averages or manual data entry.

In one multi-hectare high-wire vine operation, the system identified a developing harvest peak nearly three weeks before it appeared in harvest data. The early signal allowed the grower to adjust labor and logistics plans and balance commercial volumes ahead of the swing.

The companies said reliable forecasting requires multiple data sources because yield is influenced by outside radiation, greenhouse climate adjustments, plant-to-plant variability and labor decisions. By linking climate execution with plant behavior, the model adapts as crops respond to real conditions.

The integrated system provides rolling one- to eight-week forecasts that update as conditions change, enabling growers to make earlier, data-driven decisions around climate, labor and harvest timing.