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Title:Enhancing water-deficient potato plant identification : assessing realistic performance of attention-based deep neural networks and hyperspectral imaging for agricultural applications
Authors:ID Lapajne, Janez (Author)
ID Vojnović, Ana (Author)
ID Vončina, Andrej (Author)
ID Žibrat, Uroš (Author)
Files:.pdf PDF - Presentation file, download (4,55 MB)
MD5: 39D0537951C641D3950526167434F50E
 
Language:English
Typology:1.01 - Original Scientific Article
Organization:Logo KIS - Agricultural Institute of Slovenia
Keywords:hyperspectral imaging, deep learning, potato plant, water-deficiency, drought stress
Publication status:Published
Publication version:Version of Record
Publication date:11.07.2024
Year of publishing:2024
Number of pages:str. 1-22
Numbering:Vol. 13, iss. 8, art. 1918
UDC:631
ISSN on article:2223-7747
DOI:10.3390/plants13141918 New window
COBISS.SI-ID:202132227 New window
Note:Nasl. z nasl. zaslona; Opis vira z dne 18. 7. 2024;
Publication date in DiRROS:29.10.2024
Views:76
Downloads:15
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Record is a part of a journal

Title:Plants
Shortened title:Plants
Publisher:MDPI
ISSN:2223-7747
COBISS.SI-ID:523345433 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P4-0072

Funder:ARIS - Slovenian Research and Innovation Agency
Funding programme:Young researchers
Project number:S-ZRD/22-27/401

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

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