"RIV/26784246:_____/11:#0000449!RIV12-MZE-26784246" . "Morpho-colorimetric traits of Pisum seeds measured by an image analysis system"@en . . "http://www.ingentaconnect.com/content/ista/sst/2011/00000039/00000003/art00008" . "5"^^ . . . "RIV/26784246:_____/11:#0000449" . . . "H\u00FDbl, Miroslav" . "Venora, Gianfranco" . . . "Pisum sativum L., as well as many other grain legumes has high agronomical importance connected to their use in crop rotations. Color, size and shape of seeds are very important in grading system for many crops. A total of 33 morphometric and colorimetric features of seeds of five Czech pea varieties, cultivated in four different Czech localities, were measured by image analysis and used to identify and discriminate the varieties also regarding to their cropping localities. The achieved data were used to develop a statistical classifier based on two sample sets, the training set to teach the classifier and the test sets to validate it, and determine the percentage of varietal identification. The developed image analysis system for pea seeds was able to highlight : 1) differences among varieties, 2) the effect of locality on pea seeds traits, 3) different stability of variety."@en . "Morpho-colorimetric traits of Pisum seeds measured by an image analysis system" . "Bjelkov\u00E1, Marie" . "Morpho-colorimetric traits of Pisum seeds measured by an image analysis system" . . "3" . . . "colorimetric measurements; image analysis; linear discriminant analysis; morphometric measurements; Pisum spp.; seeds characterization"@en . . . . . . "CH - \u0160v\u00FDcarsk\u00E1 konfederace" . . "Morpho-colorimetric traits of Pisum seeds measured by an image analysis system"@en . "213750" . "39" . "I, Z(MSM2678424601)" . "15"^^ . . "0251-0952" . "Seed Science Technology" . . "000297658900008" . "Sm\u00FDkalov\u00E1, Iva" . . . "[3EDFFC639DC9]" . "Pisum sativum L., as well as many other grain legumes has high agronomical importance connected to their use in crop rotations. Color, size and shape of seeds are very important in grading system for many crops. A total of 33 morphometric and colorimetric features of seeds of five Czech pea varieties, cultivated in four different Czech localities, were measured by image analysis and used to identify and discriminate the varieties also regarding to their cropping localities. The achieved data were used to develop a statistical classifier based on two sample sets, the training set to teach the classifier and the test sets to validate it, and determine the percentage of varietal identification. The developed image analysis system for pea seeds was able to highlight : 1) differences among varieties, 2) the effect of locality on pea seeds traits, 3) different stability of variety." . "3"^^ . . . "Grillo, Oscar" .