Evaluation of a simulation model for deep-bed drying of hybrid rice seeds

Issue Date

6-2023

Abstract

his study evaluates a simulation model for drying hybrid rice seeds in deep-bed set-up. This model is based on a heterogeneous diffusion model for predicting grain moisture at different levels on a deep-bed drying set-up. To evaluate this, hybrid rice seeds were dried in a laboratory dryer with a 50-cm depth test cell. Three drying setups (45 deg C, 55 deg C, and stepwise) were used. During drying, moisture content was measured at different levels of the cell and at specified time intervals. Around four months after storage, the germination percentage of samples from different drying settings and grain locations were obtained. The drying experiment revealed that the fastest drying time is achieved with the 55 deg C drying temperature. Parameter estimation and model validation of the simulation have revealed that the model used can well predict the moisture content of the seeds across the deep-cell drying bin at any given time. This can be further supported by the mean relative error of the model which is below its acceptable values. Germination results have also shown that the drying procedures used have no negative effect on the seed quality. Thus, using the simulation model could be an accurate way to predict the moisture content with no effect on its seed quality.

Source or Periodical Title

Philippine Journal of Agricultural and Biosystems Engineering

ISSN

0119-7312

Volume

19

Issue

1

Page

17-33

Document Type

Article

College

College of Engineering and Agro-Industrial Technology (CEAT)

Frequency

semi-annually

Physical Description

3 ill.; 22 graphs; 4 tables; 31 ref.

Language

English

En – AGROVOC descriptors

RICE; SEED; HYBRIDS; DRYING; SIMULATION MODELS; TEMPERATURE; GERMINATION

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