Identification of Haploid Maize Seeds using Gray Level Co-occurrence Matrix and Machine Learning Techniques

dc.contributor.author	Altuntas, Yahya
dc.contributor.author	Kocamaz, Adnan Fatih
dc.contributor.author	Comert, Zafer
dc.contributor.author	Cengiz, Rahime
dc.contributor.author	Esmeray, Mesut
dc.date.accessioned	16/12/21 12:07
dc.date.available	16/12/21 12:07
dc.date.issued	2018
dc.identifier.isbn	978-1-5386-6878-8
dc.identifier.uri	http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/10267
dc.description.abstract	Doubled haploid (DH) technique is used effectively in maize breeding. This technique is superior to conventional maize breeding in terms of both time and homozygosity. One of the important processes in DH technique is the selection of haploid seeds. The m
dc.language.iso	English
dc.publisher	Ieee
dc.relation.ispartof	International Conference on Artificial Intelligence and Data Processing (IDAP)
dc.source	2018 Internatıonal Conference On Artıfıcıal Intellıgence And Data Processıng (Idap)
dc.title	Identification of Haploid Maize Seeds using Gray Level Co-occurrence Matrix and Machine Learning Techniques
dc.type	Proceedings Paper
dc.identifier.wos	WOS:000458717400021

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