Data

VineLOGIC View

Commonwealth Scientific and Industrial Research Organisation
Walker, Rob ; Pagay, Vinay ; Petrie, Paul ; Pellegrino, Anne ; Edwards, Everard ; Knowling, Matthew ; Benn, David
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://hdl.handle.net/102.100.100/388157?index=1&rft.title=VineLOGIC View&rft.identifier=http://hdl.handle.net/102.100.100/388157?index=1&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description='VineLOGIC View' is an interactive web application developed to assist visualisation of outputs from 'VineLOGIC: Grapevine Growth and Development Model' (see Related links). It enables comparison of 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. \n\nVersion 2 (this version) includes the addition of two publications in Related links: 'Generalized water production relations through process-based modeling: A viticulture example' and 'Operationalizing crop model data assimilation for improved on-farm situational awareness'.\nLineage: 'VineLOGIC View' was developed by David Benn (CSIRO) with input from Dr Rob Walker (CSIRO) and co-contributors (credited below) from CSIRO, South Australian Research and Development Institute (SARDI), The University of Adelaide (UA) and L'Institut Agro (France). It was preceded by 'VineLOGIC Research', a prototype developed during the tenure of the Cooperative Research Centre for Viticulture (CRCV) by Dr Doug Godwin and Bob White, designed to enable comparison between model predicted outputs and measured outputs for key parameters from the three experimental data sets (described in Collection Description) obtained during the term of the CRCV. \n\nOn winding-up of the CRCV, the Australian Wine Research Institute (AWRI) became the owner of intellectual property (IP) developed by the CRCV that included the experimental data sets. A collaboration agreement between the AWRI, CSIRO and UA, established in 2017, provided an opportunity to develop, refine and complete 'VineLOGIC View'.&rft.creator=Walker, Rob &rft.creator=Pagay, Vinay &rft.creator=Petrie, Paul &rft.creator=Pellegrino, Anne &rft.creator=Edwards, Everard &rft.creator=Knowling, Matthew &rft.creator=Benn, David &rft.date=2023&rft.edition=v2&rft.relation=https://doi.org/10.1016/j.agwat.2023.108225&rft.relation=https://doi.org/10.1016/j.agrformet.2023.109502&rft_rights=Creative Commons Attribution 4.0 International Licence https://creativecommons.org/licenses/by/4.0/&rft_rights=Data is accessible online and may be reused in accordance with licence conditions&rft_rights=All Rights (including copyright) Australian Wine Research Institute, CSIRO 2020.&rft_subject=VineLOGIC&rft_subject=Grapevine&rft_subject=Growth&rft_subject=Development&rft_subject=Phenology&rft_subject=Visualisation&rft_subject=Climate&rft_subject=Soil&rft_subject=Water&rft_subject=Salinity&rft_subject=Sustainable agricultural development&rft_subject=Agriculture, land and farm management&rft_subject=AGRICULTURAL, VETERINARY AND FOOD SCIENCES&rft_subject=Oenology and viticulture&rft_subject=Horticultural production&rft_subject=Environmental management&rft_subject=Environmental management&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=Natural resource management&rft.type=dataset&rft.language=English Access the data

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Creative Commons Attribution 4.0 International Licence
https://creativecommons.org/licenses/by/4.0/

Data is accessible online and may be reused in accordance with licence conditions

All Rights (including copyright) Australian Wine Research Institute, CSIRO 2020.

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Brief description

'VineLOGIC View' is an interactive web application developed to assist visualisation of outputs from 'VineLOGIC: Grapevine Growth and Development Model' (see Related links). It enables comparison of 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.

Version 2 (this version) includes the addition of two publications in Related links: 'Generalized water production relations through process-based modeling: A viticulture example' and 'Operationalizing crop model data assimilation for improved on-farm situational awareness'.
Lineage: 'VineLOGIC View' was developed by David Benn (CSIRO) with input from Dr Rob Walker (CSIRO) and co-contributors (credited below) from CSIRO, South Australian Research and Development Institute (SARDI), The University of Adelaide (UA) and L'Institut Agro (France). It was preceded by 'VineLOGIC Research', a prototype developed during the tenure of the Cooperative Research Centre for Viticulture (CRCV) by Dr Doug Godwin and Bob White, designed to enable comparison between model predicted outputs and measured outputs for key parameters from the three experimental data sets (described in Collection Description) obtained during the term of the CRCV.

On winding-up of the CRCV, the Australian Wine Research Institute (AWRI) became the owner of intellectual property (IP) developed by the CRCV that included the experimental data sets. A collaboration agreement between the AWRI, CSIRO and UA, established in 2017, provided an opportunity to develop, refine and complete 'VineLOGIC View'.

Available: 2023-10-27

Data time period: 2017-01-01 to 2020-01-01

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Identifiers
  • Local : 102.100.100/388157