Empirical mode decomposition of near-infrared spectroscopy signals for predicting oil content in palm fruits

作     者：Inna Novianty Ringga Gilang Baskoro Muhammad Iqbal Nurulhaq Muhammad Achirul Nanda 

作者机构：Computer Engineering Study ProgramCollege of Vocational StudiesIPB UniversityBogor 16680Indonesia Informatics Management Study ProgramCollege of Vocational StudiesIPB UniversityBogor 16680Indonesia Technology and Plantation Production Management Study ProgramCollege of Vocational StudiesIPB UniversityBogor 16680Indonesia Department of Agricultural and Biosystem EngineeringFaculty of Agro-Industrial TechnologyUniversitas PadjadjaranJatinangor 45363Indonesia 

出 版 物：《Information Processing in Agriculture》 (农业信息处理(英文))

年 卷 期：2023年第10卷第3期

页      面：289-300页

核心收录：

学科分类：12[管理学] 0907[农学-林学] 0908[农学-水产] 08[工学] 0710[理学-生物学] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 0707[理学-海洋科学] 0905[农学-畜牧学] 081104[工学-模式识别与智能系统] 0906[农学-兽医学] 0829[工学-林业工程] 0901[农学-作物学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：the Research and Community Services Institution IPB University(project no.10225/IT3.S3/KS/2020) 

主　　题：Artificial neural network Empirical mode decomposition Oil palm Oil content prediction 

摘      要：Oil content estimation in palm fruits is a precious property that significantly impacts oil palm production,starting from the upstream and *** content can be used to monitor the progress of the oil palm fresh fruit bunch(FFB)and be applied to identify product *** on the near-infrared(NIR)signals,this study proposes an empirical mode decomposition(EMD)technique to decompose signals and predict the oil content of palm ***,350 palm fruits with Tenera varieties(Elaeis guineensis ***),at various ages of maturity,were harvested from the Cikabayan Oil Palm Plantation(IPB University,Indonesia).Second,each sample was sent directly to the laboratory for NIR signal measurements and oil content ***,the EMD analysis and arti-ficial neural network(ANN)were employed to correlate the NIR signals and oil ***,a robust EMD-ANN model is generated by optimizing the lowest possible *** on performance evaluation,the proposed technique can predict oil content with a coefficient of determination(R2)of 0.933±0.015 and a root mean squared error(RMSE)of 1.446±*** results demonstrate that the model has a good predictive capacity and has the potential to predict the oil content of palm fruits directly,without neither solvents nor reagents,which makes it environmentally ***,the proposed technique has a promising potential to be applied in the oil palm *** like this will lead to the effective and efficient management of oil palm production.