Publication details
Artificial intelligence in pest insect monitoring.
| Authors | |
|---|---|
| Year of publication | 2009 |
| Type | Article in Periodical |
| Magazine / Source | Systematic Entomology |
| MU Faculty or unit | |
| Citation | |
| Field | Zoology |
| Keywords | ANN;thrips;pest |
| Description | 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. |
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