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Showing results for: [ Edwards, Everard ]
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Three experimental data sets (WNRA0103, WNRA0305 and WNRA0506) involving three grapevine varieties and a range of deficit irrigation and pruning treatments are described.
The purpose for obtaining th... more e data sets was two-fold, (1) to meet 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. Key references relating to the model and data sets are provided under Related Links. A description of selected terms and outcomes of regression analysis between values predicted by the model and observed values are provided under Supporting Files.
Version 3 includes the following amendments: (1) to WNRA0103 – alignment of settings for irrigation simulation control and initial soil water contents for soil layers with those in WNRA0305 and WNRA0506, and addition of missing berry anthocyanin data for season 2002-03; (2) to WNRA0305 - minor corrections to values for berry and bunch number and weight, and correction of target Brix value for harvest to 24.5 Brix; (3) minor corrections to some measured berry anthocyanin concentrations as mg/g fresh weight; minor amendments to treatment names for consistency across data sets, and to the name for irrigation type to improve clarity; and (4) update of regression analysis between VineLOGIC-predicted versus observed values for key variables.less
Legacy data - - Published 14 Jan 2021
VineLOGIC View is an interactive web application developed to assist visualisation of outputs from the 'VineLOGIC Grapevine Growth and Development Model' (see Related Links). It enables comparisons o... more f model predicted outputs with measured outputs from 'VineLOGIC Experimental Data Sets' (see Related Links), a group of three data sets involving three grapevine varieties and a range of deficit irrigation and pruning treatments obtained during 2000-2006 at a commercial vineyard near Mildura, Victoria, Australia. Outputs are shown in table and graph formats, including time series graphs for selected key parameters. Supporting information, including an introduction to VineLOGIC View and commentary on the key outputs are provided. less
Legacy data - - Published 14 Jan 2021
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... more ing, 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
