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...
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...
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 ...