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. |
Other formats:
BibTeX
LaTeX
RIS
@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.
|