PARTITIONING THE WHEAT GRAINS BY THE UNIFORMITY OF PROTEIN QUALITY BASED ON REMOTE SENSING

文献类型： 外文期刊

第一作者： Tian Weixin

作者： Tian Weixin;Chen Chen;Dong Ren;Song, Xiaoyu;Wang, Jihua

作者机构：

关键词： Protein quality; uniformity; remote sensing; M5 model tree

期刊名称：INTERNATIONAL JOURNAL OF ROBOTICS & AUTOMATION （ 影响因子：0.796； 五年影响因子：0.972 ）

ISSN： 0826-8185

年卷期： 2017 年 32 卷 3 期

页码：

收录情况： SCI

摘要： Separating the wheat grains by its protein quality (PQ) uniformity can add the values of the wheat. This paper proposed an approach to predict the PQ uniformity of wheat when they are growing on field and help partitioning them on PQ uniformity by region. We first partitioned the experimental plot as three scales of 10m x 10m, 15m x 15m, 20m x 20m and used three different methods to ascertain that the best scale to partition the wheat grains by the PQ uniformity was the 10m x 10m, and the best method was the M5 model tree. Secondly, we used the M5 model tree on the 10m x 10m scale, and applied the spatial information to reinforce the partition performance. Compared with the traditional approach based on Kriging, the method proposed in the paper improved the stability performance of the traditional approach without losing accuracy.

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