A Deep Learning-based Approach for Banana Leaf Diseases Classification
| dc.contributor.author | Amara, Jihen | |
| dc.contributor.author | Bouaziz, Bassem | |
| dc.contributor.author | Algergawy, Alsayed | |
| dc.contributor.editor | Mitschang, Bernhard | |
| dc.contributor.editor | Nicklas, Daniela | |
| dc.contributor.editor | Leymann, Frank | |
| dc.contributor.editor | Schöning, Harald | |
| dc.contributor.editor | Herschel, Melanie | |
| dc.contributor.editor | Teubner, Jens | |
| dc.contributor.editor | Härder, Theo | |
| dc.contributor.editor | Kopp, Oliver | |
| dc.contributor.editor | Wieland, Matthias | |
| dc.date.accessioned | 2017-06-21T11:24:45Z | |
| dc.date.available | 2017-06-21T11:24:45Z | |
| dc.date.issued | 2017 | |
| dc.description.abstract | Plant diseases are important factors as they result in serious reduction in quality and quantity of agriculture products. Therefore, early detection and diagnosis of these diseases are important. To this end, we propose a deep learning-based approach that automates the process of classifying ba- nana leaves diseases. In particular, we make use of the LeNet architecture as a convolutional neural network to classify image data sets. The preliminary results demonstrate the effectiveness of the proposed approach even under challenging conditions such as illumination, complex background, different resolution, size, pose, and orientation of real scene images. | en |
| dc.identifier.isbn | 978-3-88579-660-2 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | Datenbanksysteme für Business, Technologie und Web (BTW 2017) - Workshopband | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-266 | |
| dc.subject | Banana plant diseases | |
| dc.subject | Deep learning | |
| dc.subject | Classification | |
| dc.title | A Deep Learning-based Approach for Banana Leaf Diseases Classification | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 88 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 79 | |
| gi.conference.date | 6.-10. März 2017 | |
| gi.conference.location | Stuttgart | |
| gi.conference.sessiontitle | Workshop Big (and small) Data in Science and Humanities (BigDS17) |
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