ARTIFICIAL NEURAL NETWORKS AND FUZZY LOGIC APPLICATIONS THROUGH ISSR MARKERS ON CULTIVATED TYPE OLIVES

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dc.contributor.authorSesli, M
dc.contributor.authorYegenoglu, ED
dc.contributor.authorAltintas, V
dc.date.accessioned2024-07-18T11:49:08Z
dc.date.available2024-07-18T11:49:08Z
dc.description.abstractOlive producing countries grow olives belonging to the subtype of Olea europaea L. sativa (cultivated type olive) in Olea variety and a vast diversity of varieties are available. Olive agriculture is present in the Black Sea, Marmara, Aegean, Mediterranean and Southeastern Anatolia regions, starting from the north in Turkey. The values obtained by using 7 ISSR primers on 13 cultivated type olives, Edremit, Gemlik, Do mat, Uslu, Cilli, Esek, Kaba, Cekiste Nazilli, Memecik, Taysan Ytiregi, Halhali, Manzanilla, Cekiste Bozdogan, which are included in this diversity of varieties spread to a wide ecology, were modeled using Artificial Neural Networks and Fuzzy Logic, being the branches of artificial intelligence, and the applicability of results were studied. In this study, ISSR primers were used on different cultivated type olives with economic importance and the applicability of results in estimation were studied through artificial neural networks and fuzzy logic artificial intelligence techniques.
dc.identifier.issn1018-4619
dc.identifier.other1610-2304
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/3780
dc.language.isoEnglish
dc.publisherPARLAR SCIENTIFIC PUBLICATIONS (P S P)
dc.subjectRAPD
dc.subjectPOLYMORPHISM
dc.subjectMAP
dc.titleARTIFICIAL NEURAL NETWORKS AND FUZZY LOGIC APPLICATIONS THROUGH ISSR MARKERS ON CULTIVATED TYPE OLIVES
dc.typeArticle

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