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A machine learning approach to the study of a red coral Corallium rubrum (L.)
Chessa, L.A.; Scardi, M. (2010). A machine learning approach to the study of a red coral Corallium rubrum (L.). Biol. Mar. Medit. 17(1): 109-111
In: Biologia Marina Mediterranea. Società Italiana di Biologia Marina: Genova. ISSN 1123-4245, more
Peer reviewed article  
Available in  Authors | Dataset 
Keywords
    Corallium rubrum (Linnaeus, 1758) [WoRMS]
    Marine/Coastal
Author keywords
    Corallium rubrum, biometry, machine learning
Authors  Top | Dataset 
  • Chessa, L.A.
  • Scardi, M.
Abstract
    This study deals with the application of a machine learning algorithm (a classification tree) to assess the weight of Corallium rubrum (Cnidaria, Octocorallia) ramifications on the basis of the number of apices. Our approach can be easily applied to obtain in situ estimates of weight and basal diameter of colonies. Future developments include the integration with image acquisition and processing hardware.
Dataset
  • Linares, Cristina; Figuerola, Laura; Gómez-Gras, Daniel; Pagès-Escolà, Marta; Olvera, Àngela, Aubach, Àlex; Amate, Roger; Figuerola, Blanca; Kersting, Diego; Ledoux, Jean-Baptiste; López-Sanz, Àngel; López-Sendino, Paula; Medrano, Alba; Garrabou, Joaquim; (2020); CorMedNet- Distribution and demographic data of habitat-forming invertebrate species from Mediterranean coralligenous assemblages between 1882 and 2019, more
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