Image-based classification of plant genus and family for trained and untrained plant species

被引：0
|
作者：
Marco Seeland
Michael Rzanny
David Boho
Jana Wäldchen
Patrick Mäder
机构：
[1] Institute for Computer and Systems Engineering,
[2] Technische Universität Ilmenau,undefined
[3] Max-Planck-Institute for Biogeochemistry,undefined
[4] Department Biogeochemical Integration,undefined
来源：
BMC Bioinformatics | / 20卷
关键词：
Plant identification; Deep learning; Zero-shot classification; Computer vision; Taxonomy;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [1] Image-based classification of plant genus and family for trained and untrained plant species
    Seeland, Marco
    Rzanny, Michael
    Boho, David
    Waeldchen, Jana
    Maeder, Patrick
    BMC BIOINFORMATICS, 2019, 20 (1)
  • [2] Image-based plant modeling
    Quan, Long
    Tan, Ping
    Zeng, Gang
    Yuan, Lu
    Wang, Jingdong
    Kang, Sing Bing
    ACM TRANSACTIONS ON GRAPHICS, 2006, 25 (03): : 599 - 604
  • [3] Image-based insect species and gender classification by trained supervised machine learning algorithms
    Tuda, Midori
    Luna-Maldonado, Alejandro Isabel
    ECOLOGICAL INFORMATICS, 2020, 60
  • [4] Image-based plant wilting estimation
    Changye Yang
    Sriram Baireddy
    Valérian Méline
    Enyu Cai
    Denise Caldwell
    Anjali S. Iyer-Pascuzzi
    Edward J. Delp
    Plant Methods, 19
  • [5] Image-based Plant Stomata Phenotyping
    Laga, Hamid
    Shahinnia, Fahimeh
    Fleury, Delphine
    2014 13TH INTERNATIONAL CONFERENCE ON CONTROL AUTOMATION ROBOTICS & VISION (ICARCV), 2014, : 217 - 222
  • [6] Image-based plant wilting estimation
    Yang, Changye
    Baireddy, Sriram
    Meline, Valerian
    Cai, Enyu
    Caldwell, Denise
    Iyer-Pascuzzi, Anjali S.
    Delp, Edward J.
    PLANT METHODS, 2023, 19 (01)
  • [7] Scalable learning for bridging the species gap in image-based plant phenotyping
    Ward, Daniel
    Moghadam, Peyman
    COMPUTER VISION AND IMAGE UNDERSTANDING, 2020, 197
  • [8] Image-Based Quantification of Plant Immunity and Disease
    Laflamme, Bradley
    Middleton, Maggie
    Lo, Timothy
    Desveaux, Darrell
    Guttman, David S.
    MOLECULAR PLANT-MICROBE INTERACTIONS, 2016, 29 (12) : 919 - 924
  • [9] Deep Learning in Image-Based Plant Phenotyping
    Murphy, Katherine M.
    Ludwig, Ella
    Gutierrez, Jorge
    Gehan, Malia A.
    ANNUAL REVIEW OF PLANT BIOLOGY, 2024, 75 : 771 - 795
  • [10] Image-based phenotyping of plant disease symptoms
    Mutka, Andrew M.
    Bart, Rebecca S.
    FRONTIERS IN PLANT SCIENCE, 2015, 5
12345