| FEDOR, Peter, Jaromír VAŇHARA, Josef HAVEL and O. MAJZLAN. Artificial intelligence, a challenge for semiautomatic thrips identification. Journal of Insect Science. Univ Arizona, USA: Sea World Resort, Queensland, Australia, 2010, vol. 10, No 166, p. 13-14. ISSN 1536-2442. |
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@article{916189,
author = {Fedor, Peter and Vaňhara, Jaromír and Havel, Josef and Majzlan, O.},
article_location = {Univ Arizona, USA},
article_number = {166},
keywords = {ANN; Entomology; thrips; taxonomy},
language = {eng},
issn = {1536-2442},
journal = {Journal of Insect Science},
title = {Artificial intelligence, a challenge for semiautomatic thrips identification},
url = {http://www.insectscience.org/10.166/i1536-2442-10-166.pdf},
volume = {10},
year = {2010}
}
TY - JOUR
ID - 916189
AU - Fedor, Peter - Vaňhara, Jaromír - Havel, Josef - Majzlan, O.
PY - 2010
TI - Artificial intelligence, a challenge for semiautomatic thrips identification
JF - Journal of Insect Science
VL - 10
IS - 166
SP - 13-14
EP - 13-14
PB - Sea World Resort, Queensland, Australia
SN - 15362442
KW - ANN
KW - Entomology
KW - thrips
KW - taxonomy
UR - http://www.insectscience.org/10.166/i1536-2442-10-166.pdf
N2 - It was tested the reliability of artificial intelligence methods for prompt and effective identification and monitoring of economically important European thrips (Thysanoptera).
ER -
FEDOR, Peter, Jaromír VAŇHARA, Josef HAVEL and O. MAJZLAN. Artificial intelligence, a challenge for semiautomatic thrips identification. \textit{Journal of Insect Science}. Univ Arizona, USA: Sea World Resort, Queensland, Australia, 2010, vol.~10, No~166, p.~13-14. ISSN~1536-2442.
|
