Quantitative Method for Shape Description of Almond Cultivars (Prunus amygdalus Batsch)

Abstract

The aim of the present work was to propose a rapid, non-invasive, and quantitative image analysis method based on elliptic Fourier analysis (EFA) and on carpological measurements to discriminate between 18 cultivars and shape groups of almond kernels and in-shell fruit. The shape groups were identified using two clustering techniques: a non-hierarchic method (k-means) and a hierarchical one (Ward's method). Both methods found the same numbers of groups for in-shell fruit and kernels. The obtained results indicate that such differences can be used to discriminate among shape groups. This method was not efficient in discriminating single cultivars. In order to classify fruit into shape groups, a partial least squares discriminant analysis was applied. This analysis applied on the 18 cultivar groups showed low percentages of correct classification for both in-shell (38.58%) and kernels (31.36%). The same analysis computed on shape groups shows percentages of correct classification higher than 89%. Merging EFA, clustering methods, and modeling techniques set the basis for the implementation of an automated online fruit sorting. A Matlab script was developed to determine the right number of clusters in kmeans clustering.

External shape analyses inAtherina boyeri(Risso, 1810) from different environments

“…Coordinates of landmarks were aligned by Generalized Procrustes Analysis, a procedure consisting of three steps: the translation of point coordinates to a common centroid located at the origin (0, 0) of a reference system of coordinates; the scaling of each outline with the unitary centroid size; and finally the rotation of coordinates to minimize the sum of square distances between correspondent landmarks (Bookstein 1991;Antonucci et al 2011). …”

Morphology and Molecular Analysis of Ancient Grape Seeds

“…the morphometric method was described in Milanesi et al 2011 andantonucci et al 2012. 2.3 DNA analysis ancient seeds were quickly released from the matrix by hcl and hF treatment, which cleaned and removed organic matter (Milanesi et al 2006), and subsequently exposed overnight to uV-light. specimens were immediately processed for dna extraction under controlled sterile conditions.…”

Görüntü İşleme Teknikleri ve Kümeleme Yöntemleri Kullanılarak Fındık Meyvesinin Tespit ve Sınıflandırılması

“…Ayrıca tarım alanında, görüntü işleme tekniklerinin kullanılması ile yapılan çeşitli çalışmalarda şeftali [8,9], elma [9,10], buğday [11], fındık [12,13], kiraz [14,15], ceviz [16], badem [17] vb. meyveler sınıflandırılmakta ve özellikleri belirlenmektedir.…”