Autor según el artículo: Schuler JPS; Romani S; Abdel-Nasser M; Rashwan H; Puig D
Departamento: Enginyeria Informàtica i Matemàtiques
Autor/es de la URV: Abdelnasser Mohamed Mahmoud, Mohamed / Puig Valls, Domènec Savi / Romaní Also, Santiago / Schwarz Schuler, Joao Paulo
Palabras clave: Plant disease Neural networks Multipath Deep learning Dcnn Cnn Cie lab Artificial intelligence
Resumen: 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.
Áreas temáticas: Theoretical computer science General computer science Decision sciences (miscellaneous) Control and systems engineering Computer science (miscellaneous) Computer science (all) Computational mathematics Artificial intelligence
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
Direcció de correo del autor: mohamed.abdelnasser@urv.cat domenec.puig@urv.cat santiago.romani@urv.cat joaopaulo.schwarz@estudiants.urv.cat
Identificador del autor: 0000-0002-1074-2441 0000-0002-0562-4205 0000-0001-6673-9615 0000-0002-7582-0711
Fecha de alta del registro: 2023-05-14
Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
Enlace a la fuente original: https://mendel-journal.org/index.php/mendel/article/view/176
URL Documento de licencia: http://repositori.urv.cat/ca/proteccio-de-dades/
Referencia al articulo segun fuente origial: Mendel. 28 (1): 55-62
Referencia de l'ítem segons les normes 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
DOI del artículo: 10.13164/mendel.2022.1.055
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2022
Tipo de publicación: Journal Publications
Repositori URV