| Five commonly cited thin-layer rewetting models, including Page, Diffusion, Approximate form of diffusion, Exponential, and Polynomial were compared for their abilities to the fit the experimental re-wetting data of barley based on the root mean square error (RMSE) and mean relative error (MRE) of estimate of the measured and simulated moisture contents. The comparison shows the Page model is the most suitable model (average, RMSE = 0.176% d.b. and MRE = 0.713% d.b.) followed by the Diffusion model (average RMSE = 0.199% d.b. and MRE = 0.862% d.b) to fit the re-wetting experimental data of barley. The Approximate form of diffusion, the Exponential and the Polynomial models have less fitting ability then the Page and Diffusion models for the entire period... |
