文献类型: 外文期刊
第一作者: Fang, Changyun
作者: Fang, Changyun;Hu, Xianqiao;Sun, Chengxiao;Duan, Binwu;Xie, Lihong;Zhou, Ping
作者机构:
关键词: Image analysis;Geometrical features;Head rice yield;Evaluation of chalkiness;Transparency grade;Rice quality
期刊名称:FOOD ANALYTICAL METHODS ( 影响因子:3.366; 五年影响因子:3.07 )
ISSN:
年卷期:
页码:
收录情况: SCI
摘要: Determination of rice quality is a key function for rice research and rice industry. Traditionally, rice quality parameters were performed separately by human visual inspection. It is labor-intensive and time-consuming. In this paper, a novel analysis method was proposed to determine multi rice quality parameters simultaneously. On the glass of a flatbed scanner, 35 g rice kernels was spread and imaged. Then, the length, width, aspect ratio, head rice yield, percentage of chalky rice, chalkiness, and transparency grade were obtained after simply processing the acquired image. The developed method for the determination of rice quality was tested on 507 milled rice samples and compared to the traditional manual analysis method. The regression coefficients (R) were 0.9916, 0.9691, 0.9938, 0.9929, 0.9649, and 0.9377 for length, width, aspect ratio, head rice yield, percentage of chalky rice, and chalkiness, respectively. The accuracies of length, width, aspect ratio, and head rice yield determined by the developed method were 100, 100, 100, and 92.1 % respectively. The results indicated that the developed method was a useful and alternative method for determining rice quality.
分类号: TS2
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