Seed Size and Shape Analysis of Registered Common Bean (Phaseolus vulgaris L.) Cultivars in Turkey Using Digital Photography

Abstract

In this study, the size and shape properties of twelve different bean cultivars (eleven varieties and a genotype) were determined using image processing method on digital photography and the cultivars were grouped depending on their properties. The highest mean values of geometric diameter, projected area, length, width and shape factor in the study were determined in the ‘Çayırlı’ genotype. ‘Terzibaba’ cultivar, more spherical shape at width orientation compared to other cultivars, had the lowest value of thickness (4.6 mm) and more circular at the width orientation among the cultivars. The highest mean of thickness (6.0 mm) were measured in ‘Elkoca-05’ and ‘Noyanbey-98’ cultivars. The sphericity mean of ‘Karacaşehir-90’ (70%) was found higher than those of the other cultivars, while the geometric mean diameter, projected area, length and width values had the lowest mean. ’Yunus-90’ and ‘Göynük-98’ cultivars had the lowest sphericity mean values of 58.9% and 58.7%, respectively. According to the results of Principal Component Analysis (PCA), the most important variables of the first component were mass, geometric mean diameter, surface area, volume, projected area, equivalent diameter, perimeter and length. According to the physical properties of bean cultivars ‘Aras-98’, ‘Elkoca-05’, ‘Göynük-98’, ‘Noyanbey-98’, ‘Yakutiye-98’ and ‘Yunus-90’ were oblongus; ‘Karacaşehir-90’ and ‘Önceler-98’ were ellipticus; ‘Akman-98’, ‘Kantar-05’ and ‘Terzibaba’ were subcompressus and ‘Çayırlı’ genotype was compressus. The size and shape features of the bean cultivars are considerably crucial parameters in terms of designing the seed metering mechanism of seed drills, and transportation, separating and sizing systems. So, the size and shape data of bean cultivars are of mostly importance to engineers, machine manufacturers and machine designers.

Keywords

• bean
• image processing
• shape
• bean; image processing; shape; sphericity; projected area