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dc.contributor.authorAkdemir, Bahattin
dc.contributor.authorKayışoğlu, Birol
dc.contributor.authorBenet, Bernard
dc.date.accessioned2022-05-11T14:43:43Z
dc.date.available2022-05-11T14:43:43Z
dc.date.issued2014
dc.identifier.issn0084-5841
dc.identifier.urihttps://hdl.handle.net/20.500.11776/9702
dc.description.abstractAim of this research is to develop an experimental apparatus to measure distances between seeds for precision sowing machines and to count number of seeds in a determined area for bulk drillers on a conveyor band by using image analyses techniques. System consists of a conveyor band, two cameras, a light, a computer, which includes an image acquisition board, an input board and a software to realise the desired measures using some image processing algorithms. Wheat, sunflower, onion, and sugar beet seeds were used in this research. The results showed that there is no statistically significant differences between measurement of the image analyses system and human.en_US
dc.language.isoengen_US
dc.publisherFarm Machinery Industrial Research Corpen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectSeed distribution modelen_US
dc.subjectArtificial visionen_US
dc.subjectMachine testen_US
dc.titleDevelopment of an Image Analysis System for Sowing Machine Laboratory Testsen_US
dc.typearticleen_US
dc.relation.ispartofAma-Agricultural Mechanization in Asia Africa and Latin Americaen_US
dc.departmentFakülteler, Ziraat Fakültesi, Biyosistem Mühendisliği Bölümüen_US
dc.authorid0000-0001-9872-1823
dc.authorid0000-0002-2885-3174
dc.authorid0000-0001-9872-1823
dc.authorid0000-0002-0567-1159
dc.identifier.volume45en_US
dc.identifier.issue3en_US
dc.identifier.startpage49en_US
dc.identifier.endpage55en_US
dc.institutionauthorAkdemir, Bahattin
dc.institutionauthorKayışo?lu, Birol
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.authorwosidAkdemir, Bahattin/M-3716-2019
dc.authorwosidKayişoğlu, Birol/AAG-4199-2019
dc.authorwosidAkdemir, Bahattin/Q-1820-2015
dc.identifier.wosWOS:000341905300009en_US


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