OBJECTIVE WINE GRAPE CROP ESTIMATION MODEL USING ACTUAL SPACIAL AND PRODUCTION DATA SETS

Researcher: Dr C. Jarmain - 10 Jun 2016

The objective of this project is to leverage big available data sets, as a basis for developing and researching a new, consistent and reliable wine grape yield estimation model which will provide in-season wine grape crop estimates and harvest date forecasts.

The era of data capturing on computers or tablets means more and more databases exist. A lot of databases exist for the wine industry in the Western Cape of South Africa.  They contain a wealth of information related to farms, production units and vineyards in the wine growing regions. This includes (a) a field boundary dataset of all wine production units, (b) spatial biomass growth data (and other growth related parameters) calculated during the growing season and (c) detailed production records per block (production unit).  Each of these datasets cover at least four production seasons. This provides a huge potential for statistical analysis to correlate spatial growth and other data with actual yield figures. This can lead to improved crop (yield) estimation in South Africa at industry, regional and winery level. Not only will it save time and money, it could pioneer crop estimation globally.

Wineries and producers will have more reliable information on production estimates which will be of great assistance for planning purposes. It can also assist in making small adjustments to management practices in a vineyard to reach the desired yield and quality goals.

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