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Identification of species and geographical strains of Sitophilus oryzae and Sitophilus zeamaisusing the visible/near-infrared hyperspectral imaging technique
Journal article   Open access   Peer reviewed

Identification of species and geographical strains of Sitophilus oryzae and Sitophilus zeamaisusing the visible/near-infrared hyperspectral imaging technique

Y. Cao, C. Zhang, Q. Chen, Y. Li, S. Qi, L. Tian and Y.L. Ren
Pest Management Science, Vol.71(8), pp.1113-1121
2015
DOI: https://doi.org/10.1002/ps.3893
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Abstract

BACKGROUND Identifying stored-product insects is essential for granary management. Automated, computer-based classification methods are rapidly developing in many areas. A hyperspectral imaging technique could potentially be developed to identify stored-product insect species and geographical strains. This study tested and adapted the technique using four geographical strains of each of two insect species, the rice weevil and maize weevil, to collect and analyse the resultant hyperspectral data. RESULTS Three characteristic images that corresponded to the dominant wavelengths, 505, 659 and 955 nm, were selected by multivariate image analysis. Each image was processed, and 22 morphological and textural features from regions of interest were extracted as the inputs for an identification model. We found the backpropagation neural network model to be the superior method for distinguishing between the insect species and geographical strains. The overall recognition rates of the classification model for insect species were 100 and 98.13% for the calibration and prediction sets respectively, while the rates of the model for geographical strains were 94.17 and 86.88% respectively. CONCLUSION This study has demonstrated that hyperspectral imaging, together with the appropriate recognition method, could provide a potential instrument for identifying insects and could become a useful tool for identification of Sitophilus oryzae and Sitophilus zeamais to aid in the management of stored-product insects.

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Collaboration types
Domestic collaboration
International collaboration
Citation topics
2 Chemistry
2.244 Chemometrics
2.244.499 NIR Spectroscopy
Web Of Science research areas
Agronomy
Entomology
ESI research areas
Agricultural Sciences
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