IDEAS home Printed from https://ideas.repec.org/a/caa/jnljfs/vpreprintid22-2026-jfs.html

The role of hyperspectral imaging in forest seedling phenotyping

Author

Listed:
  • Martina Đodan

    (Department for Silviculture, Croatian Forest Research Institute, Jastrebarsko, Croatia)

  • Sanja Perić

    (Common Affairs Service, Croatian Forest Research Institute, Jastrebarsko, Croatia)

  • Karmen Vugdelija

    (Department for Silviculture, Croatian Forest Research Institute, Jastrebarsko, Croatia)

Abstract

In recent years, hyperspectral imaging has been widely adopted in agriculture and plant phenotyping, while its application in forestry has been increasing. From that point onward, hyperspectral imaging has become a valuable tool for plant phenotyping, enabling the assessment of a broad range of plant traits. Given that seedlings of forest trees are one of the most widely used types of forest planting stock, advancements in hyperspectral technology have created new possibilities for improving seedling quality assessment. High-quality forest seedlings are important for the successful establishment of forest stands, especially after outplanting within restoration initiatives. Even though hyperspectral imaging brings numerous advantages, continued technological improvements are necessary to address its several limitations and challenges. Despite its widespread use in agricultural phenotyping, applications in forest nursery production remain limited. Therefore, this review focuses on research involving hyperspectral imaging in forest seedling production and its potential for assessing seedling quality parameters.

Suggested Citation

  • Martina Đodan & Sanja Perić & Karmen Vugdelija, . "The role of hyperspectral imaging in forest seedling phenotyping," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 0.
  • Handle: RePEc:caa:jnljfs:v:preprint:id:22-2026-jfs
    DOI: 10.17221/22/2026-JFS
    as

    Download full text from publisher

    File URL: http://jfs.agriculturejournals.cz/doi/10.17221/22/2026-JFS.html
    Download Restriction: free of charge

    File URL: https://libkey.io/10.17221/22/2026-JFS?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:caa:jnljfs:v:preprint:id:22-2026-jfs. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ivo Andrle (email available below). General contact details of provider: https://www.cazv.cz/en/home/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.