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Applied Fruit Science Erwerbs-Obstbau6
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Turkish Journal of Agriculture and Forestry5
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Journal of Molecular Structure4
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Notulae Botanicae Horti Agrobotanici Cluj-Napoca3
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Clean Technologies and Environmental Policy2
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Folia Horticulturae2
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Plants2
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African Journal of Biotechnology1
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Bioorganic & Medicinal Chemistry Letters1
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Bioorganic Chemistry1
Bioactive compounds and physical attributes of Cornus mas genotypes through multivariate approaches
Demir, Bünyamin
Cornelian cherry fruits are quite rich in bioactive compounds. Natural colour, rich flavonoids and anthocyanins and high antioxidant activity have made the fruits a natural drug. In the present study, antioxidant activity, total flavonoids and total phenolics of naturally growing 18 cornelian cherry genotypes with different phenotypic characteristics were determined. Size and shape parameters of the genotypes were also determined with the image-processing method; sphericity, elongation and shape index were calculated and shapes of two-dimensional fruit images were compared with elliptic Fourier analysis. Antioxidant activity, total flavonoid contents and total phenolic amounts of the genotypes were varied between 55.062 and 152.420 mmol TE · kg−1, 286.40 and 2,882.80 mg QE · kg−1, and 2,64...
Morphological Characteristics of Grapevine Cultivars and Closed Contour Analysis with Elliptic Fourier Descriptors
Demir, Bünyamin
Morphology is the most visible and distinct character of plant organs and is accepted as one of the most important tools for plant biologists, plant breeders and growers. A number of methods based on plant morphology are applied to discriminate in particular close cultivars. In this study, image processing analysis was used on 20 grape cultivars (“Amasya beyazı“, “Antep karası“, “Bahçeli karası”, “Çavuş“, “Cevşen“, “Crimson“, “Dimrit“, “Erenköy beyazı“, “Hafızali“, “Karaşabi“, “Kırmızı“, “İzabella (Isabella) “, “Morşabi“, “Müşgüle“, “Nuniya“, “Royal“, “Sultani çekirdeksiz (Sultanina)“, “Yalova incisi“, “Yerli beyazv“, “Yuvarlak çekirdeksiz“) to classify them. According to image processing analysis, the longest and the greatest projected area values were observed in “Antep karası“ cultivar....
Effectiveness of Different Weed Management Methods in Silage Maize (Zea mays L.) and Effect on Yield
Demir, Bünyamin
In this study, the determination of the effect of band herbicide, hoeing, brushing and flaming methods that has been used especially row crops on weed management on the parameters of weed management and yield in silage maize has been aimed. Tillage, seed bed preparation, planting and fertilization were applied at the all area of experiment plots with the same method weed management tool and machines have been run at three different ground speeds. After application the number of weeds in the experimental areas were determined using the framework with 0.5 m2 and compared with the control plots. The best weed control in the weed management areas was determined in the lowest ground speed of Band Herbicide Method with a value of 79% in the 1st year and 81% in the 2nd year. The speed increasing ...
Physical characteristics of cherry (Prunus avium) varieties and shape analysis with the elliptic Fourier method
Demir, Bünyamin
Knowing the physical properties of biological products is of great importance in terms of developing harvesting technologies, innovating crop processing technologies and determining product drying properties. The aim of this study was to determine the dimensional and shape attributes of two different cherry types (‘10-5’ and ‘10-22’) and six different cherry varieties (‘Ferbolus Verdel’, ‘Lapins’, ‘Merton Late’, ‘Noir de Guben’, ‘Starks Gold’ and ‘Telegal’) and to put forth the differences and similarities of cherry varieties. For dimensional parameters, the greatest averages were observed in ‘10-22’ type and smallest averages were observed in ‘Telegal’ variety. Dimension properties of ‘Merton Late’, ‘Noir de Guben’ and ‘Starks Gold’ varieties were similar. ‘Telegal’ variety had the greate...
Low cost measurement setup based on a piezoelectric microphone for estimating apple bruising using Shannon entropy
Demir, Bünyamin
This study presents a low cost measurement setup for estimating apple bruise volume during drop impact tests. The proposed measurement system consists of three main stages namely recording impact sound, signal processing, and estimating bruise volume. In the recording stage, the impact sound occurred when striking the apple on the surface was recorded by a piezoelectric microphone into computer. The impact sound was converted into Shannon entropy signals based on the Kernel density approach, and two measurable quantities namely entropy peak and pulse-width time were extracted from Shannon entropy signals in the signal processing stage. In the bruise volume estimating stage, the regression curves that map entropy peak and pulse-width features into bruise volume are estimated using measureme...
Biochemical composition and shape-dimensional traits of rosehip genotypes
Demir, Bünyamin | Alkaya, Günseli Bobuş
In the present study, the biochemical composition and shape and dimensional traits of 25 rosehip (Rosa canina) genotypes were investigated. The shape and dimensional traits were determined by image processing technique. Seed-propagated rosehip genotypes belonging to R. canina were collected from the natural flora of Mesudiye (Ordu) and Talas (Kayseri) districts. Antioxidant activity (39.510–72.673 mmol · kg−1), total flavonoids (287.80–1,686.20 mg quercetin equivalent (QE) · kg−1) and total phenolics (38,519.40–79,080.60 mg gallic acid equivalent · kg−1) of the genotypes exhibited large variations. Width (12.2 mm) and thickness (12.5 mm) of fruits averages were found to be close to each other. The genotypes exhibited fruit lengths between 12.0 mm and 29.5 mm. Average projected area at hori...
Prediction of Walnut Mass Based on Physical Attributes by Artificial Neural Network (ANN)
Demir, Bünyamin
Several researchers have investigated the relationships among different physical attributes of the fruits. For proper design and operation of grading systems, important relationships among the mass and other properties of fruits such as length, width, thickness, arithmetic mean diameter, geometric mean diameter, sphericity, surface area, volume, projected area, shape index, aspect ratio and elongations must be known. Recent researches have focused on artificial neural network (ANN) approaches to predict hard-to-find attributes of the fruits from easily-determined and readily available values. In this study, Modular Neural Network (MNN) and Radial Basis Neural Network (RBNN) structures of Artificial Neural Network (ANN) were employed to predict walnut mass from the physical attributes of th...
Shape Discrimination of Almond Cultivars by Elliptic Fourier Descriptors
Demir, Bünyamin
Knowledge is required about shape and size features of almonds before the design of machines, equipment and systems used in harvest and postharvest processes such as classifying, drying, packaging, grading, transportation and quality assessments of almonds. Such attributes are also required for assessing consumer preferences, cultivar registration, security of plant variety rights, investigating heritability and analyzing shape abnormalities. In present study, seven almond cultivars (‘Bertina’, ‘Ferragnes’, ‘Ferradual’, ‘Ferrostar’, ‘Glorieta’, ‘Lauranne’ and ‘Marta’) grown in Turkey were used in order to determine the longitudinal, surface and gravitational features and to compare their shapes with elliptic Fourier descriptors. ‘Bertina’, ‘Glorieta’ and ‘Ferragnes’ had the greatest longit...
Multivariate Analysis Approaches for Dimension and Shape Discrimination of Vitis vinifera Varieties
Demir, Bünyamin
In this study, berry dimensions and shape traits, which are important for the design of the grape processing system and the classification of 10 different grape varieties grown in same ecological conditions (‘Ata Sarısı’, ‘Barış’, ‘Dımışkı’, ‘Hatun Parmağı’, ‘Helvani’, ‘Horoz Karası’, ‘Hönüsü’, ‘İtalia’, ‘Mevlana Sarısı’, and ‘Red Globe’) were determined; differences between the varieties were identified with the use of discriminant analysis. The largest grape varieties were identified as ‘Ata Sarısı’ and ‘Red Globe’. The ‘Red Globe’ and ‘Helvani’ varieties had geometrically sphere-like shape. The ‘Barış’ variety had the lowest size averages. According to elliptic Fourier analysis, the primary source of shape variation was ellipse and sphere-looking varieties. However, shape variation was ...
Estimation of the Colour Properties of Apples Varieties Using Neural Network
Demir, Bünyamin
The consumer acceptance and the quality standard of agricultural products such as apple are determined mostly by their colour. Colour is measured with a colorimeter and quantified using the C.I.E. L*, a*, b* colour space system. It is used commonly by researchers for the classification and identification of apple fruit. To the best of our knowledge, the present study is the first study investigating the prediction of some colour properties of six apple varieties through artificial neural networks (ANN). The apple varieties are ‘Amasya’, ‘Starking’, ‘Granny Smith’, ‘Pink Lady’, ‘Golden Delicious’, ‘Arapkızı’ and the colour properties are L* (lightness), a* (redness), b* (yellowness), C* (chroma), h* (hue angle), CI (chroma index). General Regression Neural Networks (GRNN) and Adaptive Neuro...
Possible Use of Data Mining for Analysis and Prediction of Apple Physical Properties
Demir, Bünyamin
Data mining is used as a popular technique in several scientific researches. In agriculture, application of data mining is a relatively new approach. One of the most popular data mining approaches is to find prediction rules from experimental data sets. The present study was conducted in two stages to find out a rule for estimation of width of stalk cavity, depth of stalk cavity, width of eye basin and depth of eye basin of different apple varieties (‘Amasya’, ‘Starking’, ‘Granny Smith’, ‘Pink Lady’, ‘Golden Delicious’ and ‘Arapkızı’) based on physical properties and to propose an equation for calculating these parameters. In the first stage, data processing was performed and in the second stage, Find Laws was used for prediction of apple properties. Current results revealed that data mini...
Design of Neural Network Predictor for the Physical Properties of Almond Nuts
Demir, Bünyamin
In this study, an adaptive neuro fuzzy interface system (ANFIS) based predictor was designed to predict the physical properties of four almond types. Measurements of the dimensions, length, width and thickness were carried out for one hundred randomly selected samples of each type. With using these three major perpendicular dimensions, some physical parameters such as projected area, arithmetic mean diameter, geometric mean diameter, sphericity, surface area, volume, shape index and aspect ratio were estimated. In in a various Artificial Neural Network (ANN) structures, ANFIS structure which has given the best results was selected. The parameters analytically estimated and those predicted were given in the form of figures. The root mean-squared error (RMSE) was found to be 0.0001 which is ...
Turkey’s energy transition from fossil-based to renewable up to 2030: milestones, challenges and opportunities
Erat, Selma | Telli, Azime | Demir, Bünyamin
The energy demand of Turkey has been increasing along with increasing life standards and population and growing economy particularly since the 1980s. Most of the oil and natural gas have been imported by Turkey due to insufficient domestic reserves. Nowadays, the population of Turkey is about 83 million. The Turkish economy grew by 3% in the last 30 years and became the 18th largest economy in the world and the 6th one in Europe. Turkey aims to use energy resources efficiently, effectively and eco-friendly. Concerning climate change, Turkey signed the Paris Agreement and pledged a 21% reduction in greenhouse gas emission by the year 2030. While the energy world is in an inevitable transition to green energy, Turkey, which has a huge potential to achieve 100% energy transition in renewable ...
New naphthoquinone thiazole hybrids as carbonic anhydrase and cholinesterase inhibitors: Synthesis, crystal structure, molecular docking, and acid dissociation constant
Efeoğlu, Çağla | Selçuk, Özge | Demir, Bünyamin | Nural, Yahya
In this study, N-[3-(3-amino-1,4-dioxo-1,4-dihydronaphthalen-2-yl)-4-R-thiazol-2(3H)-ylidene]-2,6-difluorobenzamide derivatives as new 1,4-naphthoquinone thiazole hybrids were synthesized by reacting of N-[(3-amino-1,4-dioxo-1,4-dihydronaphthalen-2-yl)carbamothioyl]-2,6-difluorobenzamide with various α-bromoketones in 76–92% yields. Their molecular structures were characterized by 1H NMR, 13C NMR, 19F NMR, FT-IR, and HRMS, and the stereochemistry of one of the hybrids was determined by single crystal x-ray diffraction study. These synthesized new compounds (3a–e) were found to be effective inhibitor molecules for cholinesterases (butyrylcholinesterase (BChE) and acetylcholinesterase (AChE)), and carbonic anhydrase I and II (hCA I and hCA II) enzymes. KI values were found to be in the range...
Synthesis, biological properties, and acid dissociation constant of novel naphthoquinone–triazole hybrids
Nural, Yahya | Özdemir, Sadin | Demir, Bünyamin | Yalçın, Mustafa Serkan | Erat, Selma
A series of novel 1,4-naphthoquinone–triazole hybrids, N-(3-amino-1,4-dioxo-1,4-dihydronaphthalen-2-yl)-2-(4-R-1H-1,2,3-triazol-1-yl)acetamide, was synthesized by click chemistry in the presence of sodium ascorbate and copper(II) sulfate pentahydrate in 81–94% yield. Various biological properties of the synthesized compounds including DNA binding/cleavage, antioxidant, antibacterial and antifungal properties were evaluated. The DNA binding study was performed using dsDNA and G-quadruplex DNA. All of the compounds showed fluorescence increase in the presence of DNA, regardless of the structure. Up to 2.9 and 2.5 times fluorescence increase upon incubation with double stranded or G-quadruplex DNA was detected for 5f and 5g, respectively. The docking studies performed on dsDNA and G-quadruple...
Effects of position angles in twin-jet spray applications on droplet penetration of hydraulic nozzles
Demir, Bünyamin
This study was conducted to determine the effects of different position angles in twin-jet spray applications on droplet penetration of different nozzle types. Seven different nozzle types (standard flat fan, ST; narrow flat fan, STN; multirange, LU; low-drift potential, AD; air-induction, IDK; twin-jet air-induction, IDKT) were used and nozzles were positioned +15° along the forward direction, perpendicular to ground surface 0? and reverse direction of forward -15°. Spray experiments at 100 L/ha constant application volume were conducted under controlled conditions of a closed facility. Water sensitive paper (WSP) was used as sampling surface. WSP samples were placed vertically and horizontally over both the metal frames and root collar of artificial plants. The present findings revealed ...