文献类型： 会议论文

第一作者： Shan Hua

作者： Shan Hua ¹ ; Shuangwei Li ¹ ; Weijie Zou ² ; Minjie Xu ¹ ; Kaiyuan Han ¹ ; Zhifu Xu ¹ ;

作者机构： 1.Zhejiang Academy of Agricultural Sciences, Institute of Agricultural Equipment, Hangzhou, Zhejiang, China|Key Laboratory of Agricultural Equipment for Hilly and Mountainous Areas in Southeastern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Hangzhou, Zhejiang, China

2.Zhejiang Academy of Agricultural Sciences, Institute of Agricultural Equipment, Hangzhou, Zhejiang, China|Key Laboratory of Agricultural Equipment for Hilly and Mountainous Areas in Southeastern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Hangzhou, Zhejiang, China|School of Biological and Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou, Zhejiang, China

关键词： Point cloud compression;Three-dimensional displays;Digital images;Crops;Clustering algorithms;Estimation;Image sequences

会议名称： International Conference on Artificial Intelligence and Intelligent Information Processing

主办单位：

页码： 143-146

摘要： Plant height can be used to estimate biomass, indicate water stress, and can be also an effective indicator for nutrition content and yield. It is also an important parameter to assess crop growth in the field and to evaluate crop model performance. To achieve plant height for facility tomato quickly, accurately and non-destructively, a method was proposed to estimate tomato plant height based on image sequences. In this study, a truss equipped with visible light (RGB) camera system was used to obtain tomato canopy image sequences in the facility. Three-dimensional (3D) point cloud was reconstructed based on the structure from motion (SFM) algorithm. To estimate tomato plant height, the conditional Euclidean clustering algorithm was used to segment and extract tomato plants automatically from the 3D point cloud. The results showed that the root mean square error (RMSE) between estimation value and true value for tomato plant height was 4.62 cm and the coefficient of determination was 0.971. The method in this study can extract plant height for tomato effectively in a non-destructive way, which also provides a methodological guidance and platform for the other phenotypic parameters extraction for more facility crops.

分类号： tp3-53