NON-DESTRUCTIVE PREDICTION OF OIL AND FREE FATTY ACID OF OIL PALM FRUITLETS USING NEAR-INFRARED SPECTROSCOPY AND HYBRID CALIBRATION METHOD-Reference-Cited by-同舟云学术

NON-DESTRUCTIVE PREDICTION OF OIL AND FREE FATTY ACID OF OIL PALM FRUITLETS USING NEAR-INFRARED SPECTROSCOPY AND HYBRID CALIBRATION METHOD

Published:2024-08-26 Issue: Volume: Page:463-472
ISSN:2068-2239
Container-title:INMATEH Agricultural Engineering
language:en
Short-container-title:INMATEH

Author:

BUDIASTRA I Wayan¹,MARJAN Sutrisno²,ADIARIFIA Nissa²,NOVIANTY Inna³,SUCI Yunisa Tri²

Affiliation:

1. IPB University, Department of Mechanical and Biosystem Engineering / Indonesia; IPB University, Centre for Research on Engineering Application in Tropical Agriculture / Indonesia

2. IPB University, Department of Mechanical and Biosystem Engineering / Indonesia

3. IPB University, Study Program of Computer Engineering / Indonesia

Abstract

The study used near-infrared reflectance spectroscopy and hybrid calibration methods to predict oil and free fatty acid content of oil palm fruitlets non-destructively. The reflectance and chemical content of oil palm fruitlets were measured and the calibration between near infrared spectra and chemical content was performed using hybrid calibration methods. The developed hybrid calibration model was validated to predict oil and free fatty acid of other oil palm fruitlets. The best models to predict oil and free fatty acid of oil palm fruitlets respectively were the hybrid model of Partial Least Square-Artificial Neural Network with 25 factor components (R2 = 0.96; SEP= 2.21%, RPD = 4.79) and 19 factor components (R2 = 0.96; SEP= 0.25%, RPD = 4.24) using Savitzky-Golay first derivative spectra pre-treatment.

Publisher

INMA Bucharest-Romania

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