Publication: Plant Counting by Using K-NN Classification on UAVs Images
| dc.authorscopusid | 56780339600 | |
| dc.authorscopusid | 56780049200 | |
| dc.authorscopusid | 25651919200 | |
| dc.authorscopusid | 6603897211 | |
| dc.contributor.author | Tavus, M.R. | |
| dc.contributor.author | Eker, M.E. | |
| dc.contributor.author | Şenyer, N. | |
| dc.contributor.author | Karabulut, B. | |
| dc.date.accessioned | 2025-12-10T23:00:12Z | |
| dc.date.issued | 2015 | |
| dc.department | Ondokuz Mayıs Üniversitesi | en_US |
| dc.department-temp | [Tavus] Mustafa Reşit, Bilgisayar Mühendisliʇi Bölümü, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Eker] Muhammed Emin, Bilgisayar Mühendisliʇi Bölümü, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Şenyer] Nurettin, Bilgisayar Mühendisliʇi Bölümü, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Karabulut] Bünyamin, Bilgisayar Mühendisliʇi Bölümü, Ondokuz Mayis Üniversitesi, Samsun, Turkey | en_US |
| dc.description.abstract | In this study, Plant Counting was implemented by appling k-NN classification to images obtained from Unnamed Air Vehicle (UAV). Firstly, The images were subjected to erosion process by transforming different colour levels. The objects in the images were classified as plant and soil by means of k-NN classification. It was observed that plants can be counted with 87,7% of accuracy and 86,6% of precision by being performed last processing of the morphology of the binary image. © 2015 IEEE. | en_US |
| dc.identifier.doi | 10.1109/SIU.2015.7130015 | |
| dc.identifier.endpage | 1061 | en_US |
| dc.identifier.isbn | 9781467373869 | |
| dc.identifier.scopus | 2-s2.0-84939163420 | |
| dc.identifier.scopusquality | N/A | |
| dc.identifier.startpage | 1058 | en_US |
| dc.identifier.uri | https://doi.org/10.1109/SIU.2015.7130015 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12712/35277 | |
| dc.identifier.wosquality | N/A | |
| dc.language.iso | tr | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
| dc.relation.ispartof | -- 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 -- 2015-05-16 Through 2015-05-19 -- Malatya -- 113052 | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Image Processing | en_US |
| dc.subject | K-NN Algorithm | en_US |
| dc.subject | Plant Counting | en_US |
| dc.title | Plant Counting by Using K-NN Classification on UAVs Images | en_US |
| dc.title.alternative | İha Görüntülerinden K-NN Sınıflandırıcısı İle Bitki Sayımı | en_US |
| dc.type | Conference Object | en_US |
| dspace.entity.type | Publication |
