Detection of Grain Pest Insects in Cereals: The Potential of Hyperspectral Imaging

This study assesses hyperspectral imaging for rapid detection and quantification of live and dead adults and larvae of Sitophilus oryzae, Rhyzopertha dominica, and Tribolium castaneum in wheat and barley, reporting prediction errors and classification accuracy.

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Detaillierte Beschreibung

The presence of insects in commercial batches is economically detrimental to operators. Rapid detection of insects is therefore of major interest. The potential of the IHS has been tested to quantify live or dead adults and larvae of S. oryzae, R. Dominica and T. castaneum in wheat and barley samples. Prediction errors (SEP) range from 0.7 to 3.96 insects/kg for live adults and are greater than 5 insects/kg for dead adults. For larvae, performance is poorer and varies depending on the species: from 6.93 (S. oryzae) to 67.36 larvae/kg (R. dominica). Specific work carried out on images of dead and live insects shows a possible distinction with an accuracy of over 88 % for the three species.

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Inhaltsbeschreibung

Projekt

Innovations agronomiques

Innovations agronomiques

Standort
France
Verfasser*innen
Marlène FAURE, Ryad BENDOULA, Faten AMMARI, Séverine MAUDEMAIN , Katell CREPON
Zweck
Adopt innovative practices

Dateiformat
Dokument
Erstellt am
01. Mai 2026
Originalsprache
French
Offizielle Projekt-Webseite
Innovations agronomiques
Lizenz
CC BY