Artificial intelligence, a challenge for semiautomatic thrips identification

• 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
• 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).

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