Další formáty:
BibTeX
LaTeX
RIS
@article{1137296, author = {Fedor, Peter and PeñaandMéndez, Eladia Maria and Kucharczyk, Halina and Vaňhara, Jaromír and Havel, Josef and Doričova, Martina and Prokop, Pavol}, article_number = {1}, doi = {http://dx.doi.org/10.3906/tar-1305-8}, keywords = {Artificial neural networks; online semiautomated pest identification; Thysanoptera}, language = {eng}, issn = {1300-011X}, journal = {Turkish Journal of Agriculture and Forestry}, title = {Artificial neural networks in online semiautomated pest discriminability: an applied case with 2 Thrips species}, url = {http://journals.tubitak.gov.tr/agriculture/}, volume = {38}, year = {2014} }
TY - JOUR ID - 1137296 AU - Fedor, Peter - Peña-Méndez, Eladia Maria - Kucharczyk, Halina - Vaňhara, Jaromír - Havel, Josef - Doričova, Martina - Prokop, Pavol PY - 2014 TI - Artificial neural networks in online semiautomated pest discriminability: an applied case with 2 Thrips species JF - Turkish Journal of Agriculture and Forestry VL - 38 IS - 1 SP - 111-124 EP - 111-124 SN - 1300011X KW - Artificial neural networks KW - online semiautomated pest identification KW - Thysanoptera UR - http://journals.tubitak.gov.tr/agriculture/ L2 - http://journals.tubitak.gov.tr/agriculture/ N2 - 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. ER -
FEDOR, Peter, Eladia Maria PEÑA-MÉNDEZ, Halina KUCHARCZYK, Jaromír VAŇHARA, Josef HAVEL, Martina DORIČOVA a Pavol PROKOP. Artificial neural networks in online semiautomated pest discriminability: an applied case with 2 Thrips species. \textit{Turkish Journal of Agriculture and Forestry}. 2014, roč.~38, č.~1, s.~111-124. ISSN~1300-011X. Dostupné z: https://dx.doi.org/10.3906/tar-1305-8.
|