02330nam a22003257a 4500 OSt 20250130094001.0 250130b |||||||| |||| 00| 0 eng d 0119-7312 DSSC Per/581.4/M319/2023 Manuel, Luther John R. 12224 Philippine Journal of Agricultural and Biosystems Engineering 12184 Evaluation of a simulation model for deep-bed drying of hybrid rice seeds by Luther John R. Manuel, Joanne Foliente, Mengke Lu and Kevin F. Yaptenco pp. 17-34 23cm. text unmediated volume 19(1) 0119-7312 This study evaluates a simulation model of drying hybrid rice seeds in deep-bed set-up. This model is based on a heterogenous diffusion model for predicting grain moisture at different levels on a deep-bed drying set-up was developed. To evaluate this, hybrid rice seeds were dried in a laboratory dryer with a 50-cm depth test cell. Three drying setups (45 C, 55 C, and stepwise) were used. During drying, moisture content was measured at different levels of cell and at specified time intervals. Around four months after storage, germination percentage of samples from different drying setting and grain locations were obtained. The drying experiment revealed that the fastest drying time is achieved with the 55 C drying temperature. Parameter estimation and model validation of the simulation have revealed that the model used can well predict the moisture content of 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 simulation model could be an accurate way to predict the moisture content with no effect on its seed quality. hybrid rice 12434 deep-bed drying 12435 heterogeneous diffusion model 12436 germination test 12437 variable temperature drying 12438 Foliente, Joanne 12440 Lu, Mengke 12441 Yaptenco, Kevin F. 12330 ddc PINDEX 8802 8802 0 0 ddc 0 0 SPMT-CAS SPMT-CAS 2025-01-30 0 Per/581.4/M319/2023 2025-01-30 00:00:00 2025-01-30 PINDEX