Spectral imaging analysis for silkworm gender classification

Sarun Sumriddetchkajorn; Chakkrit Kamtongdee; Chiranut Sa-Ngiamsak

doi:10.1117/12.2030628

17 May 2013 Spectral imaging analysis for silkworm gender classification

Sarun Sumriddetchkajorn, Chakkrit Kamtongdee, Chiranut Sa-Ngiamsak

Proceedings Volume 8881, Sensing Technologies for Biomaterial, Food, and Agriculture 2013; 888106 (2013) https://doi.org/10.1117/12.2030628
Event: SPIE SeTBio, 2013, Yokohama, Japan

Abstract

We examine the effect of different wavelength spectra in the performance of our optical penetration-based silkworm pupa sex identification system. With available low-cost light emitting diodes (LEDs), each emitting different wavelength spectra at 468 nm, 565 nm, 639 nm, 940 nm, and broad white light, we find that the body of the silkworm pupa can block blue and near infrared light while allowing green and red light pass through. In particular, the red light can clearly highlight an important organ called “chitin gland” of the female, leading to high accuracy of silkworm gender identification. In our experiment with 120 silkworm pupae, measured high average 92.8% and lower average 87.5% accuracies in identifying silkworm gender are obtained under red and white light LEDs, respectively.

Citation Download Citation

Sarun Sumriddetchkajorn, Chakkrit Kamtongdee, and Chiranut Sa-Ngiamsak "Spectral imaging analysis for silkworm gender classification", Proc. SPIE 8881, Sensing Technologies for Biomaterial, Food, and Agriculture 2013, 888106 (17 May 2013); https://doi.org/10.1117/12.2030628

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