非破坏性短波近红外光谱法测定水稻水分含量

M. Makky, Santosa, R. Putri, K. Nakano
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引用次数: 6

摘要

采用无损评价的方法,对西苏门答腊本地水稻品种的水分含量进行了指标测定。本研究的目的是鉴定来自印度尼西亚西苏门答腊岛的两个本土水稻品种Junjuangan和Mundam的MC。采用1000 ~ 2500 nm短波红外(SWIR)光谱无损评价方法快速评价。将MC相同的稻谷样品放入10 cm培养皿中,用SWIR分光光度计测定。然后采用基于重量测量的初级方法测量颗粒的实际MC。在此基础上,利用主成分分析(PCA)对颗粒的光谱数据进行处理,然后利用偏最小二乘法(PLS)将其与MCs进行相关性分析。SWIR分光光度计的模型校正相关性为0.826和0.955,均方根误差(RMSEC)分别为2.97和1.4。模型验证的相关系数分别为0.788和0.968,RMSEP分别为3.8和1.29,偏倚分别为0.193和0.171。结果表明,利用光谱分析方法可以对水稻籽粒MC进行无损鉴定。采用无损评价的方法,对西苏门答腊本地水稻品种的水分含量进行了指标测定。本研究的目的是鉴定来自印度尼西亚西苏门答腊岛的两个本土水稻品种Junjuangan和Mundam的MC。采用1000 ~ 2500 nm短波红外(SWIR)光谱无损评价方法快速评价。将MC相同的稻谷样品放入10 cm培养皿中,用SWIR分光光度计测定。然后采用基于重量测量的初级方法测量颗粒的实际MC。在此基础上,利用主成分分析(PCA)对颗粒的光谱数据进行处理,然后利用偏最小二乘法(PLS)将其与MCs进行相关性分析。SWIR分光光度计的模型校正相关性为0.826和0.955,均方根误差(RMSEC)校正值分别为2.97和1.4。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determination of moisture content in rice using non-destructive short-wave near infrared spectroscopy
Determination of indices of the indigenous west Sumatran rice varieties was done to rapidly evaluate its moisture contents (MC) by means of non-destructive evaluation. The objective of this study was to identify the MC of two indigenous rice from west Sumatra, Indonesia, namely Junjuangan and Mundam, cultivars. The evaluation was rapidly performed by means of non-destructive evaluation using 1000-2500 nm short wave infrared (SWIR) spectral assessment. The paddy grains samples with identical MC were put into 10 cm petri dish and measured using SWIR spectrophotometer. The grains’ actual MC was then measured by primary method, based on weight measurement. 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 for SWIR spectrophotometer showed correlation of 0.826 and 0.955, with root mean squared error calibration (RMSEC) of 2.97 and 1.4 for Junjuangan and Mundam rice respectively. Moreover, model validation produced correlation of 0.788 and 0.968, RMSEP of 3.8 and 1.29, and bias of 0.193 and 0.171 for Junjuangan and Mundam rice, respectively. The results indicated that the MC of paddy grains could be precisely identified by means of non-destructive evaluation using spectral analysis.Determination of indices of the indigenous west Sumatran rice varieties was done to rapidly evaluate its moisture contents (MC) by means of non-destructive evaluation. The objective of this study was to identify the MC of two indigenous rice from west Sumatra, Indonesia, namely Junjuangan and Mundam, cultivars. The evaluation was rapidly performed by means of non-destructive evaluation using 1000-2500 nm short wave infrared (SWIR) spectral assessment. The paddy grains samples with identical MC were put into 10 cm petri dish and measured using SWIR spectrophotometer. The grains’ actual MC was then measured by primary method, based on weight measurement. 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 for SWIR spectrophotometer showed correlation of 0.826 and 0.955, with root mean squared error calibration (RMSEC) of 2.97 and 1.4 for Junjuangan ...
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