| Popis: |
A decision support system to manage commercial peanut drying facilities was developed. Empirical equations to predict peanut drying time were developed using PNUTDRY, a bulk peanut curing model. Input data for the empirical model includes daily maximum/minimum ambient temperature, maximum allowable plenum temperature, maximum allowable temperature rise, initial and final pod moisture content, and airflow rate. Using kernel moisture content instead of pod moisture content, as required in the original simulation model, had minimal impact on predicted drying time. Regression equations comparing actual drying times to estimated drying times had an R2 of 0.72. When data from loads dried with ambient air were included, the R2 decreased to 0.48. The equations presented have been incorporated into a software module to manage peanut curing facilities, released as FarmSuite by the Peanut Foundation. |
