uvaNet: A Deep Learning Framework for Precise Detection of Potato Leaf Diseases in Sustainable Agricultural Production
Approved
Classifications
MinEdu publication type
A1 Journal article (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Journal article
Host publication type
Journal
Publication channel information
Title of journal/series
Potato research
ISSN (print)
0014-3065
ISSN (electronic)
1871-4528
ISSN (linking)
0014-3065
Publication forum ID
65319
Publication forum level
1
Internationality
Yes
Detailed publication information
Publication year
2025
Bibliographical publication year
2025
Reporting year
2025
Journal/series volume number
68
Journal/series issue number
4
Page numbers
4749-4778
DOI
10.1007/s11540-025-09945-y
Language of publication
English
Co-publication information
International co-publication
Yes
Co-publication with a company
No
Availability
Link to online publication
Link to self-archived version
Classification and additional information
MinEdu field of science classification
4111 Agronomy, 113 Computer and information sciences
Keywords
Blight; Convolutional neural networks; Leaf disease; Potato crop; Recommendation framework; Sustainable agriculture
Source database ID
Scopus ID
2-s2.0-105020438377