Networking System Employing near Infrared Spectroscopy for Sugarcane Payment in Japan
Networking System Employing near Infrared Spectroscopy for Sugarcane Payment in Japan
复制标题
日本利用近红外光谱进行甘蔗支付的网络系统
DOI：
10.1255/jnirs.1081
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发表时间：
2013
影响因子：
1.8
通讯作者：
K. Saengprachatanarug
中科院分区：
文献类型：
--
作者：
E. Taira;M. Ueno;N. Furukawa;A. Tasaki;Y. Komaki;Jun;K. Saengprachatanarug
开发了一种利用近红外（NIR）光谱确定种植者报酬的甘蔗质量评估系统，并将其引入日本南部的原糖米尔斯厂。评价系统由样品制备用刀具研磨机、近红外光谱仪和网络系统组成。我们研究了一个校准模型，用于测定糖指数[波尔甘蔗，（PIC）]切碎的甘蔗样品使用修改后的偏最小二乘回归与不重复性文件。使用重复性文件开发的模型的准确度是足够的[预测均方根误差，（RMSEP）= 0.30%]，主仪器和8个从仪器之间的合并标准误差（P-SE）为0.14%。相比之下，没有重复性文件的校准模型会产生较大的P-SE和合并偏倚（P偏倚）值，尽管在使用一阶导数和标准正态变量（SNV）光谱预处理的情况下，RMSEP值与重复性文件模型非常相似。该评价系统安装在17个原糖米尔斯厂在13个岛屿参与甘蔗种植在日本南部。该系统目前用于测量由农民提供给米尔斯的甘蔗样品的PIC值。所有获得的数据都通过互联网收集并汇编到一个中央设施中。甘蔗近红外联网系统已在日本所有原糖工厂实施，作为确定甘蔗价格的官方方法。
A cane quality evaluation system using near infrared (NIR) spectroscopy for determining payments to growers was developed and introduced to raw sugar mills in southern Japan. The evaluation system consists of a cutter grinder for sample preparation, an NIR instrument and a networking system. We investigated a calibration model for the determination of sugar index [Pol in cane, (PIC)] for shredded cane samples using a modified partial least squares regression with and without a repeatability file. The accuracy of the model developed using the repeatability file was adequate [root-mean square error of prediction, (RMSEP) = 0.30%] and the pooled standard error (P-SE) between master and eight slave instruments was 0.14%. In contrast, calibration models without a repeat ability file incurred large P-SE and pooled bias (P-bias) values, although the RMSEP values were very similar to the repeatability file model in cases using the first derivative and standard normal variate (SNV) spectral pre-treatment. The evaluation system was installed in 17 raw sugar mills on 13 islands involved in sugarcane cultivation in southern Japan. The system is presently used to measure the PIC value of cane samples that are supplied by farmers to mills. All data obtained are collected and compiled into a central facility via the Internet. The NIR networking system for sugarcane has been implemented in all raw sugar factories in Japan as an official method for determining cane prices.