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Research Status and Prospects on Plant Canopy Structure Measurement Using Visual Sensors Based on Three-Dimensional Reconstruction

Author

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  • Jizhang Wang

    (Key Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education and Jiangsu Province, School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Yun Zhang

    (Institute of Field Management Equipment, School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Rongrong Gu

    (Shanghai Research Institute for Intelligent Autonomous Systems, School of Electronics and Information Engineering, Tongji University, Shanghai 201804, China)

Abstract

Three-dimensional (3D) plant canopy structure analysis is an important part of plant phenotype studies. To promote the development of plant canopy structure measurement based on 3D reconstruction, we reviewed the latest research progress achieved using visual sensors to measure the 3D plant canopy structure from four aspects, including the principles of 3D plant measurement technologies, the corresponding instruments and specifications of different visual sensors, the methods of plant canopy structure extraction based on 3D reconstruction, and the conclusion and promise of plant canopy measurement technology. In the current research phase on 3D structural plant canopy measurement techniques, the leading algorithms of every step for plant canopy structure measurement based on 3D reconstruction are introduced. Finally, future prospects for a standard phenotypical analytical method, rapid reconstruction, and precision optimization are described.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jagris:v:10:y:2020:i:10:p:462-:d:425078
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    References listed on IDEAS

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    1. Douglas M. Hawkins, 1980. "Critical Values for Identifying Outliers," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 29(1), pages 95-96, March.
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    Cited by:

    1. 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.
    2. Daniel Queirós da Silva & André Silva Aguiar & Filipe Neves dos Santos & Armando Jorge Sousa & Danilo Rabino & Marcella Biddoccu & Giorgia Bagagiolo & Marco Delmastro, 2021. "Measuring Canopy Geometric Structure Using Optical Sensors Mounted on Terrestrial Vehicles: A Case Study in Vineyards," Agriculture, MDPI, vol. 11(3), pages 1-19, March.

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