  Plant phenotyping, that is, the quantitative assessment of plant traits
including growth, morphology, physiology, and yield, is a critical aspect
towards efficient and effective crop management. Currently, plant phenotyping
is a manually intensive and time consuming process, which involves human
operators making measurements in the field, based on visual estimates or using
hand-held devices. In this work, methods for automated grapevine phenotyping
are developed, aiming to canopy volume estimation and bunch detection and
counting. It is demonstrated that both measurements can be effectively
performed in the field using a consumer-grade depth camera mounted onboard an
agricultural vehicle.
