Yazar "Yildirim, Hakan" seçeneğine göre listele

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    Chaos-Embedded Multi-Objective Intelligent Optimization-Based Explainable Classification Model for Determining Cherry Fruit Fly Infestation Levels Using Pomological Data
    (Mdpi, 2026) Yildirim, Suna; Ozgen, Inanc; Alatas, Bilal; Yildirim, Hakan
    The European cherry fruit fly (Rhagoletis cerasi L.) poses a significant pest threat to cherry production due to its rapid reproduction and host specificity, causing substantial economic damage. This study presents a novel, explainable, and biologically inspired data-driven classification model based on fruit characteristics to support targeted and sustainable pest control strategies. In research conducted at four different locations in Elaz & imath;& gbreve; province, three population classes were determined based on the number of adult individuals caught in traps, and 10 different fruit characteristics were measured in fruit samples belonging to each class. The data used in this study are original data obtained by the authors. To examine the relationship between pomological characteristics of cherry fruit and cherry fruit fly density, the Chaotic Rule-based-Strength Pareto Evolutionary Algorithm2 (CRb-SPEA2) method, developed as a multi-objective and chaos-integrated evolutionary rule mining framework, was adapted. The developed algorithm aimed for high performance, interpretability, and transparency. Accuracy, Precision, and Recall metrics, which are conflicting objectives, were optimized with Pareto-optimal solutions, yielding selectable results for domain experts. To increase population diversity and reduce the risk of early convergence and getting stuck in a local optimum, the Tent chaotic mapping mechanism was also integrated into the system. Furthermore, the model was trained without the need for predefined automatic discretization of the continuous value ranges of the attributes. The proposed model achieved superior results across all classes, with the highest accuracy rate of 82.6% recorded in the High class, demonstrating excellent sensitivity and recall values.
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    Determination of the Effect of Different Nutrient Medium and Strengths on In Vitro Shoot Development in Köhnü and Banazkara Grape Varieties
    (Kahramanmaras Sutcu Imam Univ Rektorlugu, 2026) Karaman, Canan; Yildirim, Hakan; Ozdemir, Gultekin
    As the homeland of viticulture, Turkey possesses rich genetic resources. Among this diversity, local genetic materials hold great importance. The aim of this study is to determine the appropriate culture medium type and strength for in vitro micropropagation of Banazkara and Kohnugrape varieties, which have economic importance for the Malatya region. The best culture medium was compared using explants from the tip of the shoot with MS, QL, SH, and WPM medium at different medium strengths (1/4, & half;, 1, and 2). Based on the observations made and the parameters examined, MS culture medium was determined to be the most suitable medium for the Kohnuand Banazkara grape varieties. In Kohnu, the number of shoots was 3.27, the shoot length was 1.03 cm, and the number of nodes was 5.99, while in Banazkara, the number of shoots was 3.24, the shoot length was 1.16 cm, and the number of nodes was 5.47. In medium-strength tests, the full-strength MS environment in particular provided the highest values, with 3.30 shoots, 1.18 cm shoot length, and 5.38 nodes in Kohnu; and 2.96 shoots, 1.12 cm length, and 5.77 nodes in Banazkara. As a result, it was determined that a fullstrength MS medium was the most suitable option for the in vitro micropropagation of both grape varieties. The study lays the groundwork for the rapid propagation and conservation of local grape genetic resources, and also provides a basis for future research such as breeding and stress studies.
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    Growth and Biomass Responses of Cotton to Nitrogen and Molybdenum Applied via Seed, Foliar, and Soil Pathways
    (Springer Int Publ Ag, 2026) Cun, Suat; Firat, Zemzem; Sakin, Erdal; Yanardag, Ibrahim Halil; Beyyavas, Vedat; Cevheri, Cevher Ilhan; Yildirim, Hakan
    This study aimed to evaluate the effects of different molybdenum (Mo) doses and nitrogen (N) levels, applied using various application methods, on the physiological, morphological, and biochemical responses of cotton plants, as well as on soil biochemical properties. Mo (25 and 50 & micro;g kg(-)& sup1;) was applied as seed coating, foliar spraying, and soil drenching, and each Mo dose was combined with two N levels (15 and 30 kg ha(-)& sup1;). Plant growth parameters, stomatal conductance, SPAD values, leaf N content, and biomass were measured. Soil pH, EC, and enzyme activities (catalase, urease, and dehydrogenase) were also analyzed. Combined N-Mo applications significantly improved plant height, root length, leaf area, SPAD values, leaf N content, and both shoot and root biomass. Stomatal conductance decreased, thereby improving water use efficiency. Soil pH decreased while EC increased in all treatments compared to the control. Soil enzyme activities increased markedly across all Mo-N treatments, reflecting enhanced soil biochemical functioning. The Mo-N interaction positively influenced cotton physiology by enhancing photosynthetic performance, root development, nitrogen assimilation, and enzymatic antioxidant activity. Mo applications combined with appropriate N levels improved plant performance and offer a promising strategy for strengthening cotton productivity under diverse soil conditions.