Automated image analysis framework for high-throughput determination of grapevine berry sizes using conditional random fields
Automatic non-invasive detection of grapevine berries. High-throughput determination of berry size. Utilization of active learning without user interaction and conditional random fields. Extraction of a reliable quantity of phenotypic data while keeping the quality high.
images grapevine berry size conditional random fields phenotyping machine vision