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Supporting In-Season Blueberry Yield and Maturity Estimation Using Computer Vision Model and Field Images

By: Jing Zhang, Bruce McLean, Cody Craddock, Gabriella de Souza, Sarah Dinger

This publication discusses the results of field testing of an image-based application designed to estimate blueberry yield and maturity from field images. Testing was conducted through the N.C. Plant Sciences Initiative Extension Agent Network and included a wide variety of commercial blueberry farms.