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...
Efficient removal of insecticide “imidacloprid” from water by electrochemical advanced oxidation processes
Turabik, Meral | Gözmen, Belgin
The oxidative degradation of imidacloprid (ICP) has been carried out by electrochemical advanced oxidation processes (EAOPs), anodic oxidation, and electro-Fenton, in which hydroxyl radicals are generated electrocatalytically. Carbon-felt cathode and platinum or boron-doped diamond (BDD) anodes were used in electrolysis cell. To determine optimum operating conditions, the effects of applied current and catalyst concentration were investigated. The decay of ICP during the oxidative degradation was well fitted to pseudo-first-order reaction kinetics and absolute rate constant of the oxidation of ICP by hydroxyl radicals was found to be kabs(ICP)=1.23×109 L mol−1 s −1 . The results showed that both anodic oxidation and electro-Fenton process with BDD anode exhibited high minera...
A novel additive for enhancing biomass energy production from agro-industrial wastes: synthesis of hydrophobic nanoporous silica aerogel and its effect on methane production
Akbay, Habibe Elif Gülşen | Başgöz, Öyküm
Anaerobic digestion (AD) is one of the most preferred processes for the treatment of organic waste. However, additional processes such as co-digestion, pretreatment, and additive addition continue to be explored to remove the limits on the applicability of AD. This study investigated the effects of hydrophobic nanoporous silica aerogel (NpSA) synthesized from waste rice husks on the anaerobic co-digestion (AnCD) of the mixture consisting of sewage sludge and fruit processing industry wastes. All bioreactors containing NpSA-free, 0.1 g, 0.2 g, 0.5 g, and 1 g NpSA (0.03–0.3 gNpSA/gVSadded) were operated in a mesophilic-batch process. Biogas and methane yields increased from 346 mL/gVS (NpSA-free) to 387 mL/gVS and from 231 mL/gVS (NpSA-free) to 288 mL/gVS, respectively, with 0.1 g NpSA addit...
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...
Comparison of energy transition of Turkey and Germany: energy policy, strengths/weaknesses and targets
Telli, Azime | Erat, Selma | Demir, Bünyamin
In present study, energy transition from fossil-based to renewable energy of Turkey was compared with Germany, which is one of the world leaders, in order to analyze for which points Germany is a good model for Turkey. The renewable energy policies, strengths/weakness and targets of Germany and Turkey were examined and compared. Germany has the 4th largest economy whereas Turkey, which is a developing country has the 18th largest economy in of the world. Germany declared to have the renewable energy in the energy mix by 65% in 2030 and set the long-term targets as: to reach at least 60% of final energy and 80% of electricity consumption from renewable sources by the year 2050. Turkey is expected to reach ~ 63 GW installed renewables in 2023, which was 42 GW. Germany and Turkey have similar...
Fe‑modified hydrochar from orange peel as adsorbent of food colorant Brilliant Black: process optimization and kinetic studies
Gözmen, Belgin | Turunç, Ersan
The main aims of this work were to produce and characterize Fe-modified hydrochar from orange peel waste, optimize the adsorption through response surface methodology, investigate the role of treatment time, dye concentration, adsorbent dose and temperature, and determine the dominant mechanisms through kinetics analysis. Orange peel waste was hydrothermally carbonized at 200 °C for 8 h, and the hydrochar was embedded with magnetite nanoparticles. The composite adsorbent was characterized through spectrometric and surface analytical methods. Subsequently, analysis of variance was used to design the experimental runs, propose a polynomial equation describing the adsorption process and finally optimize the adsorption conditions. The results indicated that 99% removal can be theoreticall...
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 ...