Artificial neural networks in online semiautomated pest discriminability: an applied case with 2 Thrips species

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F14%3A00074854" target="_blank" >RIV/00216224:14310/14:00074854 - isvavai.cz</a>

Výsledek na webu

<a href="http://journals.tubitak.gov.tr/agriculture/" target="_blank" >http://journals.tubitak.gov.tr/agriculture/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3906/tar-1305-8" target="_blank" >10.3906/tar-1305-8</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Artificial neural networks in online semiautomated pest discriminability: an applied case with 2 Thrips species

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Artificial neural networks in online semiautomated pest discriminability: an applied case with 2 Thrips species

Popis výsledku anglicky

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.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

EG - Zoologie

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Turkish Journal of Agriculture and Forestry

ISSN

1300-011X

e-ISSN

—

Svazek periodika

38

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

TR - Turecká republika

Počet stran výsledku

14

Strana od-do

111-124

Kód UT WoS článku

000328624300013

EID výsledku v databázi Scopus

—