ÇETİN, N. 2022. Machine Learning for Varietal Binary Classification of Soybean (Glycine max (L.) Merrill) Seeds Based on Shape and Size Attributes. Food Analytical Methods , vol.15, no.8 , 2260-2273.

ÇETİN, N., (2022). Machine Learning for Varietal Binary Classification of Soybean (Glycine max (L.) Merrill) Seeds Based on Shape and Size Attributes. Food Analytical Methods , vol.15, no.8, 2260-2273.

ÇETİN, NECATİ. "Machine Learning for Varietal Binary Classification of Soybean (Glycine max (L.) Merrill) Seeds Based on Shape and Size Attributes," Food Analytical Methods , vol.15, no.8, 2260-2273, 2022

ÇETİN, NECATİ. "Machine Learning for Varietal Binary Classification of Soybean (Glycine max (L.) Merrill) Seeds Based on Shape and Size Attributes." Food Analytical Methods , vol.15, no.8, pp.2260-2273, 2022

ÇETİN, N. (2022) . "Machine Learning for Varietal Binary Classification of Soybean (Glycine max (L.) Merrill) Seeds Based on Shape and Size Attributes." Food Analytical Methods , vol.15, no.8, pp.2260-2273.

@article{article, author={NECATİ ÇETİN}, title={Machine Learning for Varietal Binary Classification of Soybean (Glycine max (L.) Merrill) Seeds Based on Shape and Size Attributes}, journal={Food Analytical Methods}, year=2022, pages={2260-2273} }