Computer Vision Forage Recognition

Computer Vision Forage Recognition is a computational method that enables the automated identification and classification of forage plants from digital imagery using algorithms designed to extract and analyze visual features specific to botanical traits.

7

Publications

293

Citations

38

Authors

16

Institutions

Publications per year

2017–2026

4

Authors

38

  1. HF
    Hiroshi Fukuda

    Tohoku University, Japan

    1 publications · 14 citations

    1

    h-index

  2. TK
    Takashi Kato

    Tohoku University, Japan

    1 publications · 14 citations

    1

    h-index

  3. JS
    Jun Sun

    Jiangsu University, China

    1 publications · 45 citations

    1

    h-index

  4. TP
    Thidarat Pinthong

    Phetchaburi Rajabhat University, Thailand

    1 publications · 41 citations

    1

    h-index

  5. MK
    Mahasak Ketcham

    King Mongkut's University of Technology North Bangkok, Thailand

    1 publications · 41 citations

    1

    h-index

1–5 of 38

Venues

  1. Journal of Food Engineering

    1 publications · 136 citations

    1

    h-index

  2. Computers and Electronics in Agriculture

    1 publications · 45 citations

    1

    h-index

  3. Brain Research Bulletin

    1 publications · 14 citations

    1

    h-index

  4. Apidologie

    1 publications · 10 citations

    1

    h-index

  5. Brazilian Archives of Biology and Technology

    1 publications · 10 citations

1–5