Canopy Detection

Canopy Detection is a sensing methodology in precision agriculture that identifies the presence, dimensions, and structural characteristics of plant foliage to enable targeted application of agrochemicals in variable rate spraying systems.

54

Publications

2.5K

Citations

191

Authors

72

Institutions

Publications per year

2017–2026

31

Authors

191

  1. CZ
    Changyuan Zhai

    National Engineering Research Center for Information Technology in Agriculture, China

    3 publications · 75 citations

    4

    h-index

  2. TJ
    Ting Jiang

    Beijing University of Posts and Telecommunications, China

    3 publications · 85 citations

    3

    h-index

  3. SZ
    Shijun Zhai

    Beijing University of Posts and Telecommunications, China

    3 publications · 85 citations

    3

    h-index

  4. HD
    Hanjie Dou

    National Engineering Research Center for Information Technology in Agriculture, China

    2 publications · 42 citations

    3

    h-index

  5. HG
    Haiou Guan

    Heilongjiang Bayi Agricultural University, China

    2 publications · 54 citations

    2

    h-index

1–5 of 191

Venues

  1. Computers and Electronics in Agriculture

    10 publications · 620 citations

    10

    h-index

  2. Agronomy

    3 publications · 116 citations

    4

    h-index

  3. Remote Sensing

    2 publications · 144 citations

    3

    h-index

  4. 2

    h-index

  5. Remote Sensing of Environment

    2 publications · 110 citations

    2

    h-index

1–5