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Measurement of pepper plant height and canopy area using 3D LiDAR point cloud
알리모하마드 ( Mohammod Ali ),카림레자울 ( Rejaul Karim ),카비르사자둘 ( Sazzadul Kabir ),구란다즈아스라푸자만 ( Ashrafuzzaman Gulandaz ),레자나심 ( Nasim Reza ),선저스틴 ( Justsung ),정선옥 ( Sun-ok Chung ) 한국농업기계학회 2022 한국농업기계학회 학술발표논문집 Vol.27 No.2
Plant height and canopy area are crucial plant factors for growth and yield monitoring. A significant number of plants at different heights and canopies are required to evaluate the plant phenotyping characteristics, which is labor-intensive and time-consuming. Therefore, the aim of this study was to use 3D LiDAR point clouds to assess the height and canopy area of pepper plants. A LiDAR (VLP-16) was installed in the experimental field to collect the 3D point clouds of pepper plants. The collected data was preprocessed with 3D point cloud data processing software. The automatic segmentation methods were tested on 13 pepper plants to calculate the height and canopy area. The 3D LiDAR point clouds used in the measuring method were compared to the manually gathered ground truth to determine the accuracy of the results. The average plant height and canopy area were found to be 66±4.5 m and 0.48±0.11 m2, respectively, by manual measurement, whereas the 3D point cloud data processing algorithm showed less accuracy. The R2 values were found to be more than 0.89 for the individual phenotypic traits. The results showed that the proposed system could automatically segment and measure plant height and canopy area. The findings of this study would contribute to further research for upland crop growth and yield monitoring.