Block-Level Data Analytics

Accurate calibration of hyperspectral imagery enables PIC to develop consistent statistical metrics that highlight trends in vineyard vigor and spatial uniformity within or between growing seasons. These are presented as distributions of a key crop attribute at multiple points in time, as illustrated below by a sequence of monthly HVI histograms for a single-varietal block in a northern California vineyard. PIC is working with its clients to apply block-based analytics to help optimize management practices during the growing season and make harvest timing decisions within properties.

Block-Level Data Analytics