Abstract
In this study, an Artificial Neural Network (ANN) model was developed in order to classify varieties belonging to grain species. Varieties of bread wheat, durum wheat, barley, oat and triticale were utilized. 11 physical properties of grains were determined for these varieties as follows: thousand kernel weight, geometric mean diameter, sphericity, kernel volume, surface area, bulk density, true density, porosity and colour parameters. It was found that these properties had been statistically significant for the varieties. An Artificial Neural Network was developed for classifying varieties. The structure of the ANN model developed was designed to have 11 inputs, 2 hidden and 2 output layers. Thousand kernel weight, geometric mean diameter, sphericity, kernel volume, surface area, bulk density, true density, porosity and colour were used as input parameters; and species and varieties as output parameters. While classifying the varieties by the ANN model developed, R2, RMSE and mean error were found to be 0.99, 0.000624 and 0.009%, respectively. In classifying the species, these values were found to be 0.99, 0.000184 and 0.001%, respectively. It has shown that all the results obtained from the ANN model had been in accordance with the real data.
Highlights
While marketing agricultural products, it is quite important for producers, industrialists and consumers to know the varieties of the concerned products
28 bread wheat varieties, 11 durum wheat varieties, 8 barley varieties, 6 oat varieties and 4 triticale varieties were used as material (Table 1)
The physical parameters of agricultural materials are important to have an accurate estimate of physical features and other characteristics which can be considered as engineering parameters for that product. These parameters such as the length, width, thickness, arithmetic mean diameter, geometric mean diameter, sphericity, volume, thousand seed mass, bulk density, true density, porosity and surface area are used in the grading, handling, sieving, storage, drying, processing and designing equipment
Summary
It is quite important for producers, industrialists and consumers to know the varieties of the concerned products. Marketers want to make sure of the product variety they sell in order to establish standards for target markets. For these reasons, reliable methods are necessary for identification of varieties. Identification of varieties of grain species are carried out by subject matter experts and results are not objective and sound. Properties such as shape, size, colour and tissue belonging to grain products are not subject to a single mathematical function
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