Work

Determination of Oil Palm Fruit Maturity Using a Portable Instrument Based on Uv-vis-nir Sensor

Year: 2025

Type: article

Abstract: An accurate method for determining palm fruit maturity is needed by the palm oil industry to increase productivity and quality of crude palm oil. This study developed a portable instrument based on the AS7265x sensor (410–940 nm) to determine oil palm maturity accurately. Reflectance from 270 oil palm fruits at various maturity were measured, pre-processed, and classified into three maturity levels using PCA. PCA with SNV pre-treatment explained 97% of the variance. Classification was validated using SVM, RF, and KNN, with KNN achieving 100% accuracy. The instrument with SNV-PCA-KNN method has the potential to be used for oil palm fruit maturity classification.

Source: INMATEH Agricultural Engineering

DOI: 10.35633/inmateh-76-49

Authors: Yunisa Tri SUCI, I Wayan BUDIASTRA, Y Aris PURWANTO, Slamet WIDODO

Institutions: IPB University, Ministry of Agriculture

Language: English

Topic: Spectroscopy and Chemometric Analyses

Subfield: Analytical Chemistry

Field: Chemistry

Domain: Physical Sciences

SDG: Zero hunger

Open Access status: diamond

Funders: Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi, Direktorat Jenderal Pendidikan Tinggi