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

Olive 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, Domat, Uslu, Cilli, Esek, Kaba, Cekiste Nazilli, Memecik, Tavsan YLi.regi, Halhah, 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.