Authors

Abstract

As one of the ancient cultivated crops in China, millet has the characteristics of high nutritional value, drought resistance and barrenness. It also plays an important role in ensuring the supply of food in our country. At present, most of the millet breeding work uses manual extraction of phenotypic information, which is labor-intensive and inefficient. Therefore, the development of an automated, efficient and accurate millet phenotype detection method has practical significance for the extraction of the millet genome. In this study, a combination of sparse reconstruction based on Structure from Motion (SfM) and Patch-based Multi-View Stereo (PMVS) was used to select three different varieties of millet. A total of 81 samples of 9 samples in each period were reconstructed to obtain a 3D model of millet. The combination of conditional filtering and statistical filtering is used to remove the noise points generated during the photographing process, and finally the obtained point cloud data is used to measure the agronomic traits of millet such as plant height and leaf area. The results show that the interval angle of 5° is the best reconstruction angle of millet. The coefficient of determination R2 of point cloud measurement results and manual measurement data regression analysis is higher than 0.94, indicating that the method used for 3D reconstruction has high applicability to different millet in different periods and high-throughput measurement of millet by the method in this paper is feasible. This study provides a theoretical basis for a millet phenotypic information measurement device.

Abstract in Chinese

谷子作为中国古老的栽培作物之一，具有营养价值高、抗旱耐贫瘠等特点。对我国粮食的供给保障也具有重要作用。目前，谷子育种工作多采用手工提取表型信息，劳动量大，效率低下，所以发展一种自动化、高效且精确的谷子表型检测方法对于谷子基因组的提取具有实际意义。本研究采用了基于运动恢复结构（SfM Structure from Motion）的稀疏重建和基于面片的多视角立体几何（PMVS Patch-based Multi-View Stereo）相结合的方法，对三个不同品种的谷子选取三个不同时期每个时期9个样本，共81个样本进行三维重建得到谷子的三维模型。利用条件滤波和统计滤波相结合去除在拍照过程中产生的噪声点，最后利用得到的点云数据对谷子进行株高、叶面积等农艺性状的测量。结果表明隔角度为5°为谷子的最佳重建角度。点云测量结果与人工测量数据回归分析决定系数R^2均高于0.94，表明采用的方法进行三维重建对于不同时期不同谷子有较高的适用性并且通过本文的方法对谷子进行高通量测量是切实可行的。本研究为谷子表型信息测量设备提供了理论基础。