Author
Listed:
- Alexey Dorokhov
(FSBSI “Federal Scientific Agronomic and Engineering Center VIM”, Moscow 109428, Russia)
- Alexander Aksenov
(FSBSI “Federal Scientific Agronomic and Engineering Center VIM”, Moscow 109428, Russia)
- Alexey Sibirev
(FSBSI “Federal Scientific Agronomic and Engineering Center VIM”, Moscow 109428, Russia)
- Dmitry Hort
(FSBSI “Federal Scientific Agronomic and Engineering Center VIM”, Moscow 109428, Russia)
- Maxim Mosyakov
(FSBSI “Federal Scientific Agronomic and Engineering Center VIM”, Moscow 109428, Russia)
- Nikolay Sazonov
(FSBSI “Federal Scientific Agronomic and Engineering Center VIM”, Moscow 109428, Russia)
- Maria Godyaeva
(FSBSI “Federal Scientific Agronomic and Engineering Center VIM”, Moscow 109428, Russia)
Abstract
This method is a variant of non-destructive multiparametric surface analysis and includes the implementation of hyperspectral and RGB image processing approaches from different angles. This work is based on a fundamental hyperspectral survey system for obtaining data on scanned biological objects in many spectral ranges and with several possible variants of assembling a system with different types of surface illumination with point light and diffuse illumination. The implementation of the technology through the use of a diffused light source provides the diffuse illumination of a biological object with pronounced symptoms of rarefaction on the surface of a biological object—in this case, potato tubers, due to the presence of signs of disease on the potato peel, as well as their deformation. Using broadband lamps, a short-pass filter is located between the source and the object (λ ≤ 400 nm, λ may vary depending on the excitation length), and a long-pass filter (λ ≥ 400 nm) between the root or onion and the chamber. The use of a vision system with a created database containing models of real defects in potato tubers showed a high sorting efficiency, providing an accuracy of sorting by size of 95.4%, and an accuracy by the presence of defects of 93.1%.
Suggested Citation
Alexey Dorokhov & Alexander Aksenov & Alexey Sibirev & Dmitry Hort & Maxim Mosyakov & Nikolay Sazonov & Maria Godyaeva, 2023.
"Development of an Optical System with an Orientation Module to Detect Surface Damage to Potato Tubers,"
Agriculture, MDPI, vol. 13(6), pages 1-27, June.
Handle:
RePEc:gam:jagris:v:13:y:2023:i:6:p:1188-:d:1162859
Download full text from publisher
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:gam:jagris:v:13:y:2023:i:6:p:1188-:d:1162859. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.