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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Description détaillée

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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Information détaillée sur la contribution

Projet

Innovations agronomiques

Innovations agronomiques

Localisation
France
Auteurs
Marlène FAURE, Ryad BENDOULA, Faten AMMARI, Séverine MAUDEMAIN , Katell CREPON
Objectif
Adopt innovative practices

Type de fichier
document
Publié sur
01 mai 2026
Langue originale
French
Site officiel du projet
Innovations agronomiques
License
CC BY