Miao Yanlong, Wang Liuyang, Peng Cheng, Li Han, Li Xiuhua, Zhang Man
Key Lab of Smart Agriculture System Integration, Ministry of Education, China Agricultural University, Beijing, 100083, China.
Key Lab of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing, 100083, China.
Plant Methods. 2022 May 18;18(1):66. doi: 10.1186/s13007-022-00894-y.
The number of banana plants is closely related to banana yield. The diameter and height of the pseudo-stem are important morphological parameters of banana plants, which can reflect the growth status and vitality. To address the problems of high labor intensity and subjectivity in traditional measurement methods, a fast measurement method for banana plant count, pseudo-stem diameter, and height based on terrestrial laser scanning (TLS) was proposed.
First, during the nutritional growth period of banana, three-dimensional (3D) point cloud data of two measured fields were obtained by TLS. Second, the point cloud data was preprocessed. And the single plant segmentation of the canopy closed banana plant point cloud was realized furtherly. Finally, the number of banana plants was obtained by counting the number of pseudo-stems, and the diameter of pseudo-stems was measured using a cylindrical segmentation algorithm. A sliding window recognition method was proposed to determine the junction position between leaves and pseudo-stems, and the height of the pseudo-stems was measured. Compared with the measured value of artificial point cloud, when counting the number of banana plants, the precision,recall and percentage error of field 1 were 93.51%, 94.02%, and 0.54% respectively; the precision,recall and percentage error of field 2 were 96.34%, 92.00%, and 4.5% respectively; In the measurement of pseudo-stem diameter and height of banana, the root mean square error (RMSE) of pseudo-stem diameter and height of banana plant in field 1 were 0.38 cm and 0.2014 m respectively, and the mean absolute percentage error (MAPE) were 1.30% and 5.11% respectively; the RMSE of pseudo-stem diameter and height of banana plant in field 2 were 0.39 cm and 0.2788 m respectively, and the MAPE were 1.04% and 9.40% respectively.
The results show that the method proposed in this paper is suitable for the field measurement of banana count, pseudo-stem diameter, and height and can provide a fast field measurement method for banana plantation management.
香蕉植株数量与香蕉产量密切相关。假茎的直径和高度是香蕉植株重要的形态参数，能够反映其生长状况和活力。为解决传统测量方法劳动强度大且主观性强的问题，提出了一种基于地面激光扫描（TLS）的香蕉植株数量、假茎直径和高度的快速测量方法。
首先，在香蕉营养生长期，通过TLS获取了两个测量田块的三维（3D）点云数据。其次，对该点云数据进行预处理，并进一步实现了冠层封闭的香蕉植株点云的单株分割。最后，通过统计假茎数量得到香蕉植株数量，利用圆柱分割算法测量假茎直径。提出了一种滑动窗口识别方法来确定叶片与假茎之间的交界位置，并测量假茎高度。与人工点云测量值相比，在统计香蕉植株数量时，田块1的精度、召回率和百分比误差分别为93.51%、94.02%和0.54%；田块2的精度、召回率和百分比误差分别为96.34%、92.00%和4.5%；在香蕉假茎直径和高度测量中，田块1香蕉植株假茎直径和高度的均方根误差（RMSE）分别为0.38厘米和0.2014米，平均绝对百分比误差（MAPE）分别为1.30%和5.11%；田块2香蕉植株假茎直径和高度的RMSE分别为0.（此处原文有误，应为0.39）厘米和0.2788米，MAPE分别为1.04%和9.40%。
结果表明，本文提出的方法适用于香蕉数量、假茎直径和高度的田间测量，可为香蕉种植园管理提供一种快速的田间测量方法。
