关键词: 三维点云, 玉米, 破坏性取样, 形态结构

Abstract: Rapid and accurate acquisition of maize 3-dimensional (3D) data is the basis for analyzing maize morphological structure and function. However, there are some problems in situ field data acquisition of individual plant and colony, including poor airflow stability, severe organ cross-screen, high temperature and humidity environment, which are not conducive to continuous instrument operation. Therefore, it is significant to study the morphological changes of destructive maize sampling plants which determe method of acquiring morphological structure data. This study obtained 3D point cloud data of maize plants treated with 2 nitrogen fertilizer at grain-filling stage for different time intervals by laser scanner; and analyzed the morphological changes of all leaves using point cloud data. Results showed that the morphological changes of maize plants were the least within 2 h after sampling from in situ field to the indoor controllable environment, and its morphological structure was the closest to field plants. The above results provided theoretical basis for destructive sampling of maize plants, and also technically supported acquiring data to study maize structure functional models.

Key words: 3D point cloud, maize, destructive sampling, morphological structure