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A 3D Canopy Reconstruction and Phenotype Analysis Method for Wheat

Boxiang Xiao,Sheng Wu,Xinyu Guo,Weiliang Wen

Published 2017 in Conference on Control Technology and Applications

ABSTRACT

A high precise and high realistic three-dimensional wheat canopy model is important in modern agriculture. In this paper, we proposed a 3D reconstruction and quantitative calculation for phenotype analysis method for wheat. First, we made use of a 3D digitizer to acquire spatial structure and distribution data of wheat canopy. After data processing, we constructed three-dimensional organ models including stalks, leaves and others, based on a surface modeling algorithm. Under this process, we constructed a 3D canopy model by frames of wheat colony. Furthermore, we made phenotype analyses on structure and organs distribution features including leaf length, azimuth and obliquity values. By use of constructed 3D canopy model, we used a light distribution computing algorithm to analyze the potential light interception, and we also calculated interception in different layers and different organs. The synchronous light intensity and leaf area index (LAI) measured by a PAR device were used to compare and examine the constructed canopy models. We also compute macroscopic canopy attributes including leaf area, leaf area index, projection area, shading area, and so on. Finally, parts of experimental results are shown, and the results show that our method is feasible and effective for wheat as well as other similar crops. At the end, the main contributions and limitations are also discussed, and some future works are addressed.

PUBLICATION RECORD

  • Publication year

    2017

  • Venue

    Conference on Control Technology and Applications

  • Publication date

    2017-08-12

  • Fields of study

    Agricultural and Food Sciences, Mathematics, Computer Science

  • Identifiers
    DOI 10.1007/978-3-030-06137-1_23
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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