Forecasting Grape Maturation Under Heat Stress Using MatPred

Leorey Marquez (), Geoff Robinson () and Simon Dunstall ()
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Leorey Marquez: CSIRO Computational Informatics
Geoff Robinson: CSIRO Mathematics, Informatics & Statistics
Simon Dunstall: CSIRO Mathematics, Informatics & Statistics

Chapter Chapter 13 in Handbook of Operations Research in Agriculture and the Agri-Food Industry, 2015, pp 277-306 from Springer

Abstract: Abstract Projected climatic changes in Australia for the next 50 years indicate a likely increase in the frequency, intensity, and duration of extreme weather events such as heatwaves. The wine and grape industry has intensified calls for more effective methods of managing viticulture activities before, during, and after these events in order to ensure the future viability of the industry. This paper presents MatPred, a maturation forecasting tool developed by CSIRO as part of the VitiForecaster package for grape intake logistics. The discussion details the extension of MatPred’s forecasting methodology to account for heat stress and describes the selection of a recommended regression model to forecast daily change in grape maturity.

Keywords: Heat Stress; Harvest Date; Daily Maximum Temperature; White Wine; Automate Weather Station (search for similar items in EconPapers)
Date: 2015
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DOI: 10.1007/978-1-4939-2483-7_13

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