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Revista Ciencias Técnicas Agropecuarias

versão On-line ISSN 2071-0054

Resumo

RANGEL MONTES DE OCA, Lazara; GARCIA PEREIRA, Annia  e  HERNANDEZ GOMEZ, Antihus. Assessing the potential of time series to predict the quality properties of guava (Psidium guajava L), red dwarf EEA 1-23, during storage at room temperature. Rev Cie Téc Agr [online]. 2010, vol.19, n.2, pp.82-84. ISSN 2071-0054.

The statistical analysis techniques represent a novel alternative that complements the use of non-destructive technologies applied in the monitoring of the change of properties of fruits and vegetables during storage. This work aims evaluate the potential of time series to predict the quality properties of guava during storage at room temperature. To do an analysis of the results obtained in work concerning this topic which have some international recognition where, for the prediction models for SSC, pH, firmness and weight loss (25 guava) were related values actual content of each property obtained from traditional techniques with predicted data using specialized software Statgraphics 5.1.Como main result was obtained that the time series tend to be a tool capable of predicting properties of fruit quality for time optimal state real guava.

Palavras-chave : time series; forecasting.

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