Abstract

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.

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