Concepedia

Image-based Inflorescence Classification

Image-Based Inflorescence Classification is a computational method that identifies and categorizes inflorescence structures by analyzing visual features extracted from digital images, leveraging pattern recognition and machine learning techniques specific to botanical morphology.

11

Publications

319

Citations

32

Authors

17

Institutions

Publications per year

2017–2026

9

Parents

Publications

11

Classification of flower species by using features extracted from the intersection of feature selection methods in convolutional neural network models

Mesut Toğaçar, Burhan Ergen, Zafer Cömert · Measurement · 2020 · 85 citations

, , +10

Flower classification with modified multimodal convolutional neural networks

Kang Il Bae, Junghoon Park, Jongga Lee et al. · Expert Systems with Applications · 2020 · 42 citations

, , +8

Tea Bud Leaf Identification by Using Machine Learning and Image Processing Techniques

GI Karunasena, H.D.N.S. Priyankara · International Journal of Scientific and Engineering Research · 2020 · 32 citations

, , +14

A Flower Recognition System Based On Image Processing And Neural Networks

Huthaifa Almogdady, Saher Manaseer, Hazem Hiary · International journal of scientific and technology research · 2018 · 28 citations

, , +12

Efficient identification, localization and quantification of grapevine inflorescences and flowers in unprepared field images using Fully Convolutional Networks

Robert Rudolph, Katja Herzog, Reinhard Töpfer et al. · Julius Kühn-Institut · 2018 · 26 citations · Full text

, , +15

1–5 of 11

Authors

32

  1. KH
    Katja Herzog

    Julius Kühn-Institut, Germany

    2 publications · 40 citations

    2

    h-index

  2. MT
    Mesut Toğaçar

    Fırat University, Türkiye

    1 publications · 85 citations

    1

    h-index

  3. WL
    Wei Liu

    University of Sheffield, United Kingdom

    1 publications · 13 citations

    1

    h-index

  4. RK
    Ravinder Kumar

    Guru Gobind Singh Indraprastha University, India

    1 publications · 20 citations

    1

    h-index

  5. AD
    Agnès Doligez

    Amélioration Génétique et Adaptation des Plantes méditerranéennes et tropicales, France

    1 publications · 14 citations

    1

    h-index

1–5 of 32

Institutions

17

  1. Julius Kühn-Institut

    Quedlinburg, Germany

    2 h-index

    4 publications

    80 citations

  2. Amélioration Génétique et Adaptation des Plantes méditerranéennes et tropicales

    Montpellier, France

    1 h-index

    3 publications

    42 citations

  3. Dongguk University

    Seoul, South Korea

    1 h-index

    1 publications

    42 citations

  4. Fırat University

    Elâzığ, Türkiye

    1 h-index

    2 publications

    170 citations

  5. Institut Agro Montpellier

    Montpellier, France

    1 h-index

    3 publications

    42 citations

  6. Université de Montpellier

    Montpellier, France

    1 h-index

    3 publications

    42 citations

  7. Chung-Ang University

    Seoul, South Korea

    1 h-index

    4 publications

    168 citations

  8. Nanjing University of Aeronautics and Astronautics

    Nanjing, China

    1 h-index

    2 publications

    48 citations

1–8 of 17

Venues

  1. Expert Systems with Applications

    1 publications · 42 citations

    1

    h-index

  2. Pattern Analysis and Applications

    1 publications · 20 citations

    1

    h-index

  3. Measurement

    1 publications · 85 citations

    1

    h-index

  4. Multimedia Tools and Applications

    1 publications · 17 citations

    1

    h-index

  5. Neurocomputing

    1 publications · 24 citations

    1

    h-index

1–5