Research on Measurement Method of Leaf Length and Width Based on Point Cloud

Yawei Wang, Yifei Chen, Xiangnan Zhang and Wenwen Gong
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Yawei Wang: College of Information and Electrical Engineering, China Agricultural University, Qinghuadonglu No.17, Haidian District, Beijing 100083, China
Yifei Chen: College of Information and Electrical Engineering, China Agricultural University, Qinghuadonglu No.17, Haidian District, Beijing 100083, China
Xiangnan Zhang: College of Information and Electrical Engineering, China Agricultural University, Qinghuadonglu No.17, Haidian District, Beijing 100083, China
Wenwen Gong: College of Information and Electrical Engineering, China Agricultural University, Qinghuadonglu No.17, Haidian District, Beijing 100083, China

Agriculture, 2021, vol. 11, issue 1, 1-13

Abstract: Leaf is an important organ for photosynthesis and transpiration associated with the plants’ growth. Through the study of leaf phenotype, it the physiological characteristics produced by the interaction of the morphological parameters with the environment can be understood. In order to realize the assessment of the spatial morphology of leaves, a method based on three-dimensional stereo vision was introduced to extract the shape information, including the length and width of the leaves. Firstly, a depth sensor was used to collect the point cloud of plant leaves. Then, the leaf coordinate system was adjusted by principal component analysis to extract the region of interest; and compared with a cross-sectional method, the geodesic distance method, we proposed a method based on the cutting plane to obtain the intersecting line of the three-dimensional leaf model. Eggplant leaves were used to compare the accuracy of these methods in the measurement of a single leaf.

Keywords: point cloud; leaf phenotype; surface distance; 3D measurement (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2021
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