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Journal of Agricultural Studies
Article . 2014 . Peer-reviewed
Data sources: Crossref
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Description of Seedless Grape Drying and Determination of Drying Rate

Authors: Wilton Pereira Da Silva; Pedro Luiz Do Nascimento; Ihsan Hamawand; Cleide Maria Diniz Pereira Da Silva e Silva; Josivanda Palmeira Gomes; Ihsan Hamawand;

Description of Seedless Grape Drying and Determination of Drying Rate

Abstract

This article compares some empirical models, with one or two parameters, used to describe seedless grape drying at low temperature. Chosen models have, as a common characteristic, an analytical expression for the derivative of dimensionless moisture content with respect to time. Comparison of the results for the simulations of drying kinetics indicates that, despite Page and Silva et alli models well represent the process, the best model is Peleg. For this model, the statistical indicators of the simulation can be considered excellent (the determination coefficient is R2 = 0.99944 and the chi-square is χ2 = 1.2335 x 10-3).

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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