@article{(Open Science Index):https://publications.waset.org/pdf/2163,
	  title     = {Predictability of the Two Commonly Used Models to Represent the Thin-layer Re-wetting Characteristics of Barley},
	  author    = {M. A. Basunia},
	  country	= {},
	  institution	= {},
	  abstract     = {Thirty three re-wetting tests were conducted at
different combinations of temperatures (5.7- 46.30C) and relative
humidites (48.2-88.6%) with barley. Two most commonly used thinlayer
drying and rewetting models i.e. Page and Diffusion were
compared for their ability to the fit the experimental re-wetting data
based on the standard error of estimate (SEE) of the measured and
simulated moisture contents. The comparison shows both the Page
and Diffusion models fit the re-wetting experimental data of barley
well. The average SEE values for the Page and Diffusion models
were 0.176 % d.b. and 0.199 % d.b., respectively. The Page and
Diffusion models were found to be most suitable equations, to
describe the thin-layer re-wetting characteristics of barley over a
typically five day re-wetting. These two models can be used for the
simulation of deep-bed re-wetting of barley occurring during
ventilated storage and deep bed drying.},
	    journal   = {International Journal of Agricultural and Biosystems Engineering},
	  volume    = {6},
	  number    = {12},
	  year      = {2012},
	  pages     = {1148 - 1150},
	  ee        = {https://publications.waset.org/pdf/2163},
	  url   	= {https://publications.waset.org/vol/72},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 72, 2012},
	}