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

Author

Listed:
  • 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
    Engineering Practice Innovation Center, 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)

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.

Suggested Citation

  • Yawei Wang & Yifei Chen & Xiangnan Zhang & Wenwen Gong, 2021. "Research on Measurement Method of Leaf Length and Width Based on Point Cloud," Agriculture, MDPI, vol. 11(1), pages 1-13, January.
    • Handle: RePEc:gam:jagris:v:11:y:2021:i:1:p:63-:d:479940
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    References listed on IDEAS

    as
    1. Longfei Zhou & Xiaohe Gu & Shu Cheng & Guijun Yang & Meiyan Shu & Qian Sun, 2020. "Analysis of Plant Height Changes of Lodged Maize Using UAV-LiDAR Data," Agriculture, MDPI, vol. 10(5), pages 1-14, May.
    2. Jizhang Wang & Yun Zhang & Rongrong Gu, 2020. "Research Status and Prospects on Plant Canopy Structure Measurement Using Visual Sensors Based on Three-Dimensional Reconstruction," Agriculture, MDPI, vol. 10(10), pages 1-27, October.
    Full references (including those not matched with items on IDEAS)

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