Autor segons l'article: Schuler JPS; Romani S; Abdel-Nasser M; Rashwan H; Puig D

Departament: Enginyeria Informàtica i Matemàtiques

Autor/s de la URV: Abdelnasser Mohamed Mahmoud, Mohamed / Puig Valls, Domènec Savi / Romaní Also, Santiago / Schwarz Schuler, Joao Paulo

Paraules clau: Plant disease Neural networks Multipath Deep learning Dcnn Cnn Cie lab Artificial intelligence

Resum: 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.

Àrees temàtiques: Theoretical computer science General computer science Decision sciences (miscellaneous) Control and systems engineering Computer science (miscellaneous) Computer science (all) Computational mathematics Artificial intelligence

Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/

Adreça de correu electrònic de l'autor: mohamed.abdelnasser@urv.cat domenec.puig@urv.cat santiago.romani@urv.cat joaopaulo.schwarz@estudiants.urv.cat

Identificador de l'autor: 0000-0002-1074-2441 0000-0002-0562-4205 0000-0001-6673-9615 0000-0002-7582-0711

Data d'alta del registre: 2023-05-14

Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion

Enllaç font original: https://mendel-journal.org/index.php/mendel/article/view/176

URL Document de llicència: http://repositori.urv.cat/ca/proteccio-de-dades/

Referència a l'article segons font original: Mendel. 28 (1): 55-62

Referència 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 de l'article: 10.13164/mendel.2022.1.055

Entitat: Universitat Rovira i Virgili

Any de publicació de la revista: 2022

Tipus de publicació: Journal Publications