Canopy Analysis

Canopy Analysis is a computational method in agricultural machine vision that quantitatively characterizes the structural and physiological attributes of plant canopies through image-based extraction of morphological, textural, and spectral features for crop monitoring and phenotyping.

686

Publications

43.3K

Citations

2.4K

Authors

738

Institutions

Publications per year

2017–2026

318

Authors

2.4K

  1. XM
    Xiaodan Ma

    Heilongjiang Bayi Agricultural University, China

    11 publications · 361 citations

    11

    h-index

  2. SF
    Sigfredo Fuentes

    The University of Melbourne, Australia

    10 publications · 385 citations

    10

    h-index

  3. FC
    Francesco Chianucci

    Forestry Research Centre, Italy

    10 publications · 649 citations

    10

    h-index

  4. HG
    Haiou Guan

    Heilongjiang Bayi Agricultural University, China

    10 publications · 333 citations

    10

    h-index

  5. JT
    Jorge Torres‐Sánchez

    Instituto de Agricultura Sostenible, Spain

    6 publications · 985 citations

    6

    h-index

1–5 of 2.4K

Venues

  1. Computers and Electronics in Agriculture

    56 publications · 4.2K citations

    34

    h-index

  2. Remote Sensing

    51 publications · 2.5K citations

    32

    h-index

  3. Remote Sensing of Environment

    37 publications · 5.1K citations

    29

    h-index

  4. Agricultural and Forest Meteorology

    28 publications · 3K citations

    24

    h-index

  5. Sensors

    18 publications · 1K citations

    17

    h-index

1–5