| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 326.56 KB | Adobe PDF |
Advisor(s)
Abstract(s)
Blueberry is a widely consumed fruit with major economic value, appreciated due to its characteristic flavor as well
as health benefits. The present work aimed to evaluate the effect of several production factors and storage conditions on some
chemical and physical properties of blueberries. Some physical and chemical characteristics (moisture, acidity, sugars, color
and texture) of blueberries from three cultivars, originating from five different locations and conventional or organic farming,
were evaluated. The variation of the properties along time was also evaluated for storage at room temperature and
refrigeration. Moreover, artificial neural network models were developed to estimate the physical-chemical characteristics of
the blueberries, as influenced by the production and conservation factors considered. The results showed that all the
characteristics considered varied according to cultivar, place of cultivation and production mode. The storage conditions also
induced changes in the chemical components as well as in color and texture. The changes were dependent on type and
duration of storage, cultivar and production mode. Weight analysis of the artificial neural network models highlighted the
patterns and trends observed experimentally.
Description
Keywords
Artificial neural network Conservation Production mode Texture
Pedagogical Context
Citation
Guiné, R.P.F., Matos, S., Gonçalves, C., Gonçalves, F., Costa, D.V.T.A., & Mendes, M. (2018). Modeling the influence of production and storage conditions on the blueberry quality. Agricultural Engineering International, 20(2), 226-238.
Publisher
CIGR