Abstract
competitive advantages, the Indonesian oil palm sector must expand
high-quality palm oil output. In oil palm quality control, the water content is
a crucial parameter as it can be used as a reference to determine the right
harvest time. Thus, this study proposed a near-infrared (NIR) spectroscopy
as a fast and non-destructive analysis to assess oil palm water content. NIR
spectra were processed using Shannon entropy to describe the characteristics
at each wavelength. In this study, oil palm fruit samples at various maturity
levels were collected with eight different maturity fractions. Based on the
analysis, the Shannon entropy value is closely related to any changes in the
water content of palm oil. The entropy value has a decreasing trend as the
water content increases. The proposed technique can predict the water
content of an oil palm with satisfactory performance with values of 0.9746
of coefficient of determination (R2
) and 2,487 of root mean square error
(RMSE). Application of this model will lead to a fast and accurate prediction
system related to oil palm water content.
high-quality palm oil output. In oil palm quality control, the water content is
a crucial parameter as it can be used as a reference to determine the right
harvest time. Thus, this study proposed a near-infrared (NIR) spectroscopy
as a fast and non-destructive analysis to assess oil palm water content. NIR
spectra were processed using Shannon entropy to describe the characteristics
at each wavelength. In this study, oil palm fruit samples at various maturity
levels were collected with eight different maturity fractions. Based on the
analysis, the Shannon entropy value is closely related to any changes in the
water content of palm oil. The entropy value has a decreasing trend as the
water content increases. The proposed technique can predict the water
content of an oil palm with satisfactory performance with values of 0.9746
of coefficient of determination (R2
) and 2,487 of root mean square error
(RMSE). Application of this model will lead to a fast and accurate prediction
system related to oil palm water content.
| Original language | English |
|---|---|
| Pages (from-to) | 5397~5405 |
| Number of pages | 9 |
| Journal | International Journal of Electrical and Computer Engineering (IJECE) |
| Volume | 13 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 1-Oct-2023 |
| Externally published | Yes |