PARTITIONING THE WHEAT GRAINS BY THE UNIFORMITY OF PROTEIN QUALITY BASED ON REMOTE SENSING
文献类型： 外文期刊
作者： Tian Weixin 1 ; Chen Chen 1 ; Song, Xiaoyu 2 ; Dong Ren 1 ; Wang, Jihua 3 ;
作者机构： 1.Three Gorges Univ, Coll Comp & Informat Technol, Yichang 443000, Peoples R China
2.Natl Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
3.Beijing Res Ctr Agrifood Testing & Farmland Monit, Beijing 100097, Peoples R China
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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