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Showing results for: [ Edwards, Everard ]
Three experimental data sets involving three grapevine varieties and a range of deficit irrigation and pruning treatments are described. The purpose for obtaining the data sets was two-fold, (1) to m... moreeet the research goals of the Cooperative Research Centre for Viticulture (CRCV) during its tenure 1999-2006, and (2) to test the capacity of the VineLOGIC grapevine growth and development model to predict timing of bud burst, flowering, veraison and harvest, yield and yield components, berry attributes and components of water balance. A test script included with the VineLOGIC source code publication (https://doi.org/10.25919/5eb3536b6a8a8) enables comparison between model predicted and measured values for key variables. Supporting information, including key references relating to the data sets, a description of selected terms, and outcomes of regression analysis between values predicted by the model and observed values, are provided as attachments in supporting documentation. less
Legacy data - - Published 17 Jul 2020
Accurate detection of inflorescences can lead to an inflorescence count to provide an early yield estimation in viticulture. The task here is to detect inflorescences in RGB images using image process... moreing, computer vision, and machine learning techniques. The purpose of this dataset is to provide a common platform for researchers to develop methods for inflorescence detection and compare their research.less
CSA1602 New non-destructive technologies for simultaneous yield, crop condition and quality estimation - - Published 02 Dec 2019
