Determination of Classification Parameters of Barley Seeds Mixed with Wheat Seeds by using ANN
Kadir Sabanci, Cevat Aydin Department of Electrical and Electronics Engineering, Batman University, Batman, Turkey & Department of Agricultural Machinery, Selçuk University, Konya, Turkey
Abstract: One of the basic problems that cause loss of yield in wheat is weed seeds that mixed with wheat seeds. In this
study, discrimination of barley seed which mixed with wheat seeds has been realized. Classification of wheat and barley seeds
has been achieved by using artificial neural network and image processing techniques. In the study, image processing
techniques and the use of artificial neural network have been made possible with Matlab software. By using Otsu method,
histogram data of seed images that were taken from web camera was obtained. By using histogram data, with multi-layered
artificial neural network model, the system was educated and classification was made. Besides, wheat and barley seeds in the
picture info where mixed seeds taken from the web camera exist were counted.
Keywords: Artificial Neural Networks, Systems Security, Seed Images Determination of Classification Parameters of Barley Seeds Mixed with Wheat Seeds by using ANN
