Nondestructive evaluation of Bakwan paddy grains moisture content by means of spectrophotometry

Paddy grains moisture content (MC) strongly correlated to the physical properties of rice after being milled. Incorrect MC will cause higher percentage of broken rice and prompts the grains to be more fragile. In general, paddy grains with 13 - 14% MC are ideal for post-harvest processing. The objec...

Full description

Saved in:
Bibliographic Details
Published in:Journal of physics. Conference series 2018-03, Vol.985 (1), p.12012
Main Authors: Makky, M, Putry, R E, Nakano, K, Santosa
Format: Article
Language:English
Subjects:
Electromagnetic radiation
Grain
Moisture content
Nondestructive testing
Physical properties
Physics
Principal components analysis
Spectra
Spectrophotometry
Spectrum analysis
Weight measurement
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Paddy grains moisture content (MC) strongly correlated to the physical properties of rice after being milled. Incorrect MC will cause higher percentage of broken rice and prompts the grains to be more fragile. In general, paddy grains with 13 - 14% MC are ideal for post-harvest processing. The objective of this study is to measure the MC of intact paddy grain from CV. Bakwan by means of non-destructive evaluation using NIR spectral assessment. Paddy grains samples with identical MC were put into 30 mm tube glass and measured using NIR spectrophotometer. The electromagnetic radiation absorbance under consideration upon spectral measurement fell between 1000 and 2500 nm. The grains' actual MC was then measured by primary method, based on weight measurement i.e. oven method. In this study, the spectral data of the grains was then processed by means of Principal Component Analysis (PCA) before correlated with its MCs by Partial Least Square (PLS) method. The model calibration obtained correlation (r) of 0.983 and RMSEC of 1.684. Moreover, model validation produced correlation (r) of 0.973, RMSEP of 2.095, and bias of 0.2, indicating that the MC of paddy grains can be precisely identified by non-destructive evaluation using spectral analysis.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/985/1/012012