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Title:Field-scale UAV-based multispectral phenomics: : Leveraging machine learning, explainable AI, and hybrid feature engineering for enhancements in potato phenotyping
Authors:ID Lapajne, Janez (Author)
ID Vončina, Andrej (Author)
ID Vojnović, Ana (Author)
ID Donša, Daša (Author)
ID Dolničar, Peter (Author)
ID Žibrat, Uroš (Author)
Files:URL URL - Source URL, visit https://www.sciencedirect.com/science/article/pii/S0168169924011372?via%3Dihub
 
.pdf PDF - Presentation file, download (7,87 MB)
MD5: FFB77DAD8E6BBA002EAB0067A29311F2
 
Language:English
Typology:1.01 - Original Scientific Article
Organization:Logo KIS - Agricultural Institute of Slovenia
Keywords:Multispectral imaging, Potato research, Machine learning, Interpretability techniques
Publication status:Published
Publication version:Version of Record
Publication date:07.12.2024
Year of publishing:2025
Number of pages:str. 1-7
Numbering:Vol. 229, Art. no. ǂ109746
PID:20.500.12556/DiRROS-20958 New window
UDC:631
ISSN on article:1872-7107
DOI:10.1016/j.compag.2024.109746 New window
COBISS.SI-ID:218449667 New window
Note:Nasl. z nasl. zaslona; Opis vira z dne 10. 12. 2024; Št. članka: 109746;
Publication date in DiRROS:10.12.2024
Views:224
Downloads:124
Metadata:XML DC-XML DC-RDF
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LAPAJNE, Janez, VONČINA, Andrej, VOJNOVIĆ, Ana, DONŠA, Daša, DOLNIČAR, Peter and ŽIBRAT, Uroš, 2025, Field-scale UAV-based multispectral phenomics: : Leveraging machine learning, explainable AI, and hybrid feature engineering for enhancements in potato phenotyping. Computers and electronics in agriculture [online]. 2025. Vol. 229, no. 109746, p. 1–7. [Accessed 10 April 2025]. DOI 10.1016/j.compag.2024.109746. Retrieved from: https://dirros.openscience.si/IzpisGradiva.php?lang=eng&id=20958
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Record is a part of a journal

Title:Computers and electronics in agriculture
Publisher:Elsevier
ISSN:1872-7107
COBISS.SI-ID:23219205 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:MR
Name:Mladi raziskovalec
Acronym:MR
Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P4-0072-2018
Name:Agrobiodiverziteta
Funder:EC - European Commission
Project number:771367
Name:Increasing the efficiency and competitiveness of organic crop breeding
Acronym:ECOBREED
Funder:EC - European Commission
Project number:316205
Name:Integrated Approaches for Sustainable Crop Production in Slovenia: Resisting Global Changes.
Acronym:CROPSUSTAIN

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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