SciELO - Scientific Electronic Library Online

 
vol.19 issue2Stability analysis of the plow "FDN" animal tractionEvaluation of herbicides for weed control in irrigated chickpea (Cicer arietinum l.) at the region Cienega of Chapala, México author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

  • Have no cited articlesCited by SciELO

Related links

  • Have no similar articlesSimilars in SciELO

Share


Revista Ciencias Técnicas Agropecuarias

On-line version ISSN 2071-0054

Abstract

RANGEL MONTES DE OCA, Lazara; GARCIA PEREIRA, Annia  and  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.

Keywords : time series; forecasting.

        · abstract in Spanish     · text in Spanish     · Spanish ( pdf )

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License