Using Bayesian growth models to predict grape yield (2021)
Type of ContentTheses / Dissertations
Degree NameDoctor of Philosophy
PublisherUniversity of Canterbury
Showing items related by title, author, creator and subject.
Ellis R; Gerhard D; Moltchanova E; Trought M; Yang L (Universite de Bordeaux, 2020)Background and aims: Seasonal differences in vine yield need to be managed to ensure appropriate fruit composition at harvest. Differences in yield are the result of changes in vine management (e.g., the number of nodes ...
Chen, Marina (University of Canterbury, 2021)Accurate and timely predictions of grape yield are required by the wine industry for logistics planning, crop management, and wine marketing strategies. The Grape Yield Analyser project is an interdisciplinary collaboration ...
Zhao, Weizhong (University of Canterbury. Forestry, 1999)During this study two growth and yield models were developed for Pinus radiata D.Don plantations in Canterbury, New Zealand, namely CanSPBL and CanJuv. CanSPBL is a model for the whole rotation of stands owned by the Selwyn ...