Author, as appears in the article.: Schwarz Schuler JP; Romani S; Abdel-Nasser M; Rashwan H; Puig D
Department: Enginyeria Informàtica i Matemàtiques
URV's Author/s: Abdelnasser Mohamed Mahmoud, Mohamed / Puig Valls, Domènec Savi / Romaní Also, Santiago
Keywords: Plant village Plant leaf disease Deep learning Dcnn Computer vision Cnn Classification
Abstract: The Food and Agriculture Organization (FAO) estimated that plant diseases cost the world economy $220 billion in 2019. In this paper, we propose a lightweight Deep Convolutional Neural Network (DCNN) for automatic and reliable plant leaf diseases classification. The proposed method starts by converting input images of plant leaves from RGB to CIE LAB coordinates. Then, L and AB channels go into separate branches along with the first three layers of a modified Inception V3 architecture. This approach saves from 1/3 to 1/2 of the parameters in the separated branches. It also provides better classification reliability when perturbing the original RGB images with several types of noise (salt and pepper, blurring, motion blurring and occlusions). These types of noise simulate common image variability found in the natural environment. We hypothesize that the filters in the AB branch provide better resistance to these types of variability due to their relatively low frequency in the image-space domain.
Thematic Areas: Medicina ii Interdisciplinar Información y documentación General o multidisciplinar Engenharias iv Engenharias iii Comunicació i informació Ciências agrárias i Artificial intelligence
licence for use: https://creativecommons.org/licenses/by/3.0/es/
Author's mail: mohamed.abdelnasser@urv.cat santiago.romani@urv.cat domenec.puig@urv.cat
Author identifier: 0000-0002-1074-2441 0000-0001-6673-9615 0000-0002-0562-4205
Record's date: 2024-07-27
Papper version: info:eu-repo/semantics/publishedVersion
Link to the original source: https://www.researchgate.net/publication/355215213_Reliable_Deep_Learning_Plant_Leaf_Disease_Classification_Based_on_Light-Chroma_Separated_Branches
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Papper original source: Frontiers In Artificial Intelligence And Applications. 339 375-382
APA: Schwarz Schuler JP; Romani S; Abdel-Nasser M; Rashwan H; Puig D (2021). Reliable Deep Learning Plant Leaf Disease Classification Based on Light-Chroma Separated Branches. Amsterdam: IOS Press
Article's DOI: 10.3233/FAIA210157
Entity: Universitat Rovira i Virgili
Journal publication year: 2021
Publication Type: Proceedings Paper
Repositori URV