Predictive modeling of quality changes during rough rice storage.
Marks, B. P.; Cui, J.; Reid, N. B.; Daniels, M. J.;
ASAE/CSAE-SCGR Annual International Meeting, Toronto, Ontario, Canada, 18-21 July, 1999. Year: 1999 Pages: 12 pp. Ref: 20 ref.
1999
บทคัดย่อ
Physicochemical changes during rough rice storage, in terms of postharvest parameters were quantitatively modelled. The specific objective was to test the predictive ability of a semi-theoretical model for age-induced changes in rice quality (amylographic peak viscosity). Data were used from laboratory-scale storage studies conducted in 1996 and 1997, with experimental treatments including two different cultivars, two different drying treatments, three different storage moisture contents, three different storage temperatures, and a range of storage durations up to one year. A semi-theoretical model, based on a combination of kinetic and biological models, was developed, with the model constants based on the 1996 experimental data. The standard error of the model was half the magnitude of the standard deviation of the experimental data set. The results indicated that semi-theoretical modeling of rough rice aging is feasible; however, the model performed poorly when compared to independent experim
ental data from 1997.