About: Artificial neural networks in online semiautomated pest discriminability: an applied case with 2 Thrips species     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
rdfs:seeAlso
Description
  • We present a methodical paper based on ANN to discriminate morphologically very similar species, Thrips sambuci Heeger, 1854 and T. fuscipennis Haliday, 1836 (Thysanoptera: Thripinae), as an applied case for more general use. Statistical analysis of 17 characters, measured or determined for this 2 Thrips species (reared from larvae in our laboratories), including 15 quantitative morphometric variables, was performed to elucidate morphological plasticity, detect eventual outliers, and visualize differences between the studied taxa. The computational strategy applied in this study includes a set of statistical tools (factor analysis, correlation analysis, principal component analysis, and linear discriminant analysis). This complex approach has proven the existence of 2 separate species: T. fuscipennis and T. sambuci.
  • We present a methodical paper based on ANN to discriminate morphologically very similar species, Thrips sambuci Heeger, 1854 and T. fuscipennis Haliday, 1836 (Thysanoptera: Thripinae), as an applied case for more general use. Statistical analysis of 17 characters, measured or determined for this 2 Thrips species (reared from larvae in our laboratories), including 15 quantitative morphometric variables, was performed to elucidate morphological plasticity, detect eventual outliers, and visualize differences between the studied taxa. The computational strategy applied in this study includes a set of statistical tools (factor analysis, correlation analysis, principal component analysis, and linear discriminant analysis). This complex approach has proven the existence of 2 separate species: T. fuscipennis and T. sambuci. (en)
Title
  • Artificial neural networks in online semiautomated pest discriminability: an applied case with 2 Thrips species
  • Artificial neural networks in online semiautomated pest discriminability: an applied case with 2 Thrips species (en)
skos:prefLabel
  • Artificial neural networks in online semiautomated pest discriminability: an applied case with 2 Thrips species
  • Artificial neural networks in online semiautomated pest discriminability: an applied case with 2 Thrips species (en)
skos:notation
  • RIV/00216224:14310/14:00074854!RIV15-MSM-14310___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S
http://linked.open...iv/cisloPeriodika
  • 1
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 4156
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14310/14:00074854
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Artificial neural networks; online semiautomated pest identification; Thysanoptera (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • TR - Turecká republika
http://linked.open...ontrolniKodProRIV
  • [3370BD8C2D30]
http://linked.open...i/riv/nazevZdroje
  • Turkish Journal of Agriculture and Forestry
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 38
http://linked.open...iv/tvurceVysledku
  • Fedor, Peter
  • Havel, Josef
  • Vaňhara, Jaromír
  • Prokop, Pavol
  • Peña-Méndez, Eladia Maria
  • Doričova, Martina
  • Kucharczyk, Halina
http://linked.open...ain/vavai/riv/wos
  • 000328624300013
issn
  • 1300-011X
number of pages
http://bibframe.org/vocab/doi
  • 10.3906/tar-1305-8
http://localhost/t...ganizacniJednotka
  • 14310
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 38 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software