Detailed Information on Publication Record
2009
Artificial intelligence in pest insect monitoring.
FEDOR, Peter, Jaromír VAŇHARA, Igor MALENOVSKÝ, Josef HAVEL, Ian SPELLERBERG et. al.Basic information
Original name
Artificial intelligence in pest insect monitoring.
Name in Czech
Umělá inteligence pro monitorování škodlivého hmyzu.
Authors
FEDOR, Peter (703 Slovakia, guarantor), Jaromír VAŇHARA (203 Czech Republic, belonging to the institution), Igor MALENOVSKÝ (203 Czech Republic), Josef HAVEL (203 Czech Republic, belonging to the institution) and Ian SPELLERBERG (554 New Zealand)
Edition
Systematic Entomology, Oxford, England, BLACKWELL PUBLISHING, 2009, 0307-6970
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
10600 1.6 Biological sciences
Country of publisher
United States of America
Confidentiality degree
není předmětem státního či obchodního tajemství
Impact factor
Impact factor: 2.467
RIV identification code
RIV/00216224:14310/09:00034450
Organization unit
Faculty of Science
UT WoS
000264374300013
Keywords in English
ANN;thrips;pest
Tags
International impact, Reviewed
Změněno: 19/3/2013 15:09, prof. RNDr. Jaromír Vaňhara, CSc.
V originále
Global problems of hunger and malnutrition induced us to introduce a new tool for semi-automated pest insect identification and monitoring: an artificial neural network system. Multilayer perceptrons, an artificial intelligence method, seem to be efficient for this purpose. We evaluated 101 European economically important thrips (Thysanoptera) species: extrapolation of the verification test data indicated 95% reliability at least for some taxa analysed. Mainly quantitative morphometric characters, such as head, clavus, wing, ovipositor length and width, formed the input variable computation set in a Trajan neural network simulator. The technique may be combined with digital image analysis.
In Czech
Využití umělých neuronových sítí pro semiautomatickou identifikaci a monitoring škodlivého hmyzu.
Links
| MSM0021622416, plan (intention) |
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