2026-10-07T11:50:56Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33739210 2026-09-14T13:23:34Z category_26659 item_type_3 month_year_09_2026

Crude Palm Oil Extraction Rate Dataset OLUWAYOMI OYEJIDE (23921193) Industrial engineering palm oill milling palm oil extraction rate process input variables <p dir="ltr">The dataset was obtained from operational records of an industrial crude palm oil processing facility and comprised 41,790 observations, 11 process-related predictors, and crude palm oil extraction rate (CPOER) as the response variable. The predictors represented key milling conditions, including fresh fruit bunch throughput, processing temperature, sterilization conditions, digestion conditions, press pressure, water usage, energy consumption, processing time, and machine throughput. The records reflect routine industrial operations and therefore capture the inherent variability of actual palm oil milling conditions. Following removal of two duplicate observations, 41,787 records were retained for preprocessing and subsequent machine-learning analysis.</p> 2026-09-14T13:23:34Z Dataset Dataset 10.6084/m9.figshare.33739210.v1 https://figshare.com/articles/dataset/Crude_Palm_Oil_Extraction_Rate_Dataset/33739210 CC BY 4.0