2011
DOI: 10.1016/j.flora.2011.01.006
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Seed image analysis provides evidence of taxonomical differentiation within the Lavatera triloba aggregate (Malvaceae)

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Cited by 37 publications
(12 citation statements)
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“…A cross‐validation procedure was applied to test the performance of the classifiers, as reported by Bacchetta et al . (). Following this approach, statistical classifiers were developed in order to distinguish sample clusters within the five sampled populations and the different substrata and habitat.…”
Section: Methodsmentioning
confidence: 97%
“…A cross‐validation procedure was applied to test the performance of the classifiers, as reported by Bacchetta et al . (). Following this approach, statistical classifiers were developed in order to distinguish sample clusters within the five sampled populations and the different substrata and habitat.…”
Section: Methodsmentioning
confidence: 97%
“…This achievement highlights the importance of the introduction of these descriptors, improving the image analysis system previously developed by Grillo et al (2010) in which morphometric features were the first discriminant parameters. Also in Bacchetta, Garc ıa, Grillo, Mascia and Venora (2011), regarding the Lavatera triloba aggregate, the first three parameters with the highest discriminatory power were of morphological type, although colour evaluation was very important in this work for correct seed identification. The present results confirmed the validity of the proposed method for the taxonomic differentiation of Medicago at specific levels, and its identification capability of regional and population groups.…”
Section: Sardiniamentioning
confidence: 87%
“…This approach is commonly used to classify/identify unknown groups of quantitative and qualitative variables ) and find the combination of predictor variables that simultaneously minimises the within-class distance and maximises the between-class distance, thus achieving maximum class discrimination (Holden et al 2011). A cross-validation procedure was applied to test performance of the classifiers (Bacchetta et al 2011). Following this approach, statistical classifiers were developed to distinguish sample clusters of sampled populations, harvest years and colour of the seed accessions.…”
Section: Discussionmentioning
confidence: 99%
“…Bacchetta et al (2008) from digital images, characterised seeds of wild vascular plants of the Mediterranean Basin, and implemented statistical classifiers to discriminate seeds belonging to different genera and species. Improvements of the applied method and tests on other wild species were then conducted, proving the potential of biometric features measured with image analysis Grillo et al 2010;Bacchetta et al 2011;Orr u et al 2012).…”
Section: Introductionmentioning
confidence: 98%