Determination of optimal excitation and emission wavebands for detection of defect cherry tomato by using fluorescence emission and excitation matrix

In-Suck Baek; Byoung-Kwan Cho; Moon S. Kim; Young-Sik Kim

doi:10.1117/12.2018543

29 May 2013 Determination of optimal excitation and emission wavebands for detection of defect cherry tomato by using fluorescence emission and excitation matrix

In-Suck Baek, Byoung-Kwan Cho, Moon S. Kim, Young-Sik Kim

Author Affiliations +

Proceedings Volume 8721, Sensing for Agriculture and Food Quality and Safety V; 872108 (2013) https://doi.org/10.1117/12.2018543
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

Abstract

Fluorescence imaging technique has been widely used for quality and safety measurements of agro-food materials. Fluorescence emission intensities of target materials are influenced by wavelengths of excitation sources. Hence, selection of a proper excitation wavelength is an important factor in differentiating target materials effectively. In this study, optimal fluorescence excitation wavelength was determined on the basis of fluorescence emission intensity of defect and sound areas of cherry tomatoes. The result showed that fluorescence responses of defect and sound surfaces of cherry tomatoes were most significantly separated with the excitation light wavelength range between 400 and 410 nm. Fluorescence images of defect cherry tomatoes were acquired with the LEDs with the central wavelength of 410 nm as the excitation source to verify the detection efficiency of cherry tomato defects. The resultant fluorescence images showed that the defects were discriminated from sound areas on cherry tomatoes with above 98% accuracy. This study shows that high power LEDs as the excitation source for fluorescence imaging are suitable for defect detection of cherry tomatoes.

Citation Download Citation

In-Suck Baek, Byoung-Kwan Cho, Moon S. Kim, and Young-Sik Kim "Determination of optimal excitation and emission wavebands for detection of defect cherry tomato by using fluorescence emission and excitation matrix", Proc. SPIE 8721, Sensing for Agriculture and Food Quality and Safety V, 872108 (29 May 2013); https://doi.org/10.1117/12.2018543

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