Artificial intelligence, a challenge for semiautomatic thrips identification

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Authors	FEDOR Peter VAŇHARA Jaromír HAVEL Josef MAJZLAN O.
Year of publication	2010
Type	Article in Periodical
Magazine / Source	Journal of Insect Science
MU Faculty or unit	Faculty of Science
Citation
web	http://www.insectscience.org/10.166/i1536-2442-10-166.pdf
Field	Zoology
Keywords	ANN; Entomology; thrips; taxonomy
Description	It was tested the reliability of artificial intelligence methods for prompt and effective identification and monitoring of economically important European thrips (Thysanoptera).
Related projects:	Diversity of Biotic Communities and Populations: Causal Analysis of variation in space and time