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Title: A smart approach to harvest date forecasting
Authors: Charneca, Beatriz
Santos, Vanda
Crespo, Ana
Vicente, Henrique
Chaves, Humberto
Ribeiro, Jorge
Alves, Victor
Neves, José
Keywords: Analysis of the Must
Date of the Harvest
Knowledge Discovery in Databases
Data Mining
Decision Trees
Indexação Scopus
Maturação da uva
Mosto de uva
Issue Date: 2019
Publisher: EUROSIS-ETI
Citation: Charneca, B., Santos, V., Crespo, A., Vicente, H., Chaves, H., Ribeiro, J., … Neves, J. (2019). A smart approach to harvest date forecasting. In: 17th International Industrial Simulation Conference 2019, ISC 2019, 19–25.
Abstract: The concept of grape ripeness depends not only on the degree of enrichment of the chemical compounds in the grape and the volume of the berries, but also on the possible production purposes. The different types of maturation in individual cases are not sufficient for the decision on the harvest date. Taken together, however, they define oenological maturation times and help to harvest them. However, there are no consistent studies that correlate the chemical parameters obtained from must analysis and oenological maturation due to the nonlinearity of these two types of variables. Therefore, this work seeks to create a self-explanatory model that allows for the prediction of ideal harvest time, based on eneological parameters related to practices in new developments in knowledge acquisition and management in relational databases.
Peer reviewed: yes
ISBN: 978-949285907-5
Publisher version:
Appears in Collections:D-TCA - Livros e Capítulo de Livro

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