Author, as appears in the article.: Schuler JPS; Romani S; Abdel-Nasser M; Rashwan H; Puig D
Department: Enginyeria Informàtica i Matemàtiques
URV's Author/s: Abdellatif Fatahallah Ibrahim Mahmoud, Hatem / Abdelnasser Mohamed Mahmoud, Mohamed / Puig Valls, Domènec Savi / Romaní Also, Santiago / Schwarz Schuler, Joao Paulo
Keywords: Plant disease Neural networks Multipath Deep learning Dcnn Cnn Cie lab Artificial intelligence
Abstract: Deep convolutional neural networks (DCNNs) have been successfully applied to plant disease detection. Unlike most existing studies, we propose feeding a DCNN CIE Lab instead of RGB color coordinates. We modified an Inception V3 architecture to include one branch specific for achromatic data (L channel) and another branch specific for chromatic data (AB channels). This modification takes advantage of the decoupling of chromatic and achromatic information. Besides, splitting branches reduces the number of trainable parameters and computation load by up to 50% of the original figures using modified layers. We achieved a state-of-the-art classification accuracy of 99.48% on the Plant Village dataset and 76.91% on the Cropped-PlantDoc dataset.
Thematic Areas: Theoretical computer science General computer science Decision sciences (miscellaneous) Control and systems engineering Computer science (miscellaneous) Computer science (all) Computational mathematics Artificial intelligence
licence for use: https://creativecommons.org/licenses/by/3.0/es/
Author's mail: mohamed.abdelnasser@urv.cat hatem.abdellatif@urv.cat joaopaulo.schwarz@estudiants.urv.cat santiago.romani@urv.cat domenec.puig@urv.cat
Author identifier: 0000-0002-1074-2441 0000-0001-5421-1637 0000-0002-7582-0711 0000-0001-6673-9615 0000-0002-0562-4205
Record's date: 2024-09-21
Papper version: info:eu-repo/semantics/publishedVersion
Link to the original source: https://mendel-journal.org/index.php/mendel/article/view/176
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Papper original source: Mendel. 28 (1): 55-62
APA: Schuler JPS; Romani S; Abdel-Nasser M; Rashwan H; Puig D (2022). Color-Aware Two-Branch DCNN for Efficient Plant Disease Classificat. Mendel, 28(1), 55-62. DOI: 10.13164/mendel.2022.1.055
Article's DOI: 10.13164/mendel.2022.1.055
Entity: Universitat Rovira i Virgili
Journal publication year: 2022
Publication Type: Journal Publications
Repositori URV