TY - GEN
T1 - Carotenoid profile map system based on hyperspectral technique in banana (Musa sp.)
AU - Permata, Yossie Cahya
AU - Handayani, Windri
AU - Saputro, Adhi Harmoko
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/10/13
Y1 - 2017/10/13
N2 - Commonly, the total carotenoids content in fruit is measured using spectrophotometric analysis based on color absorption levels. In this paper, a bananas carotenoids profile map system was introduced using Hyperspectral imaging technique combining spectral and spatial analysis. The profile map provided the distribution of total carotenoids on the surface of the banana. The systems consist of the measurement system and the set of a mathematical model which transforms each pixel of spatial to a value representing the number of the carotenoids in banana. The measurement system composed a workbench, halogen light source, and hyperspectral camera that connected to PC using Camera Link interfaces. The partial least square regression was used to compute transformation model between the reflectance and the total carotenoids value. The ground truth value of carotenoids content was calculated on banana peel using Sims-Gamon methods. The proposed system was evaluated using 30 samples of Ambon bananas (Musa paradisiaca) which consist of 10 samples for each maturity level. In the full wavelength range, the PLSR model provided the root mean square error of 0.7934 % and the correlation coefficient R2 of 0.94 in predicting the total carotenoids content in banana. Finally, the proposed system could be used in analyzing the distribution of the carotene in banana.
AB - Commonly, the total carotenoids content in fruit is measured using spectrophotometric analysis based on color absorption levels. In this paper, a bananas carotenoids profile map system was introduced using Hyperspectral imaging technique combining spectral and spatial analysis. The profile map provided the distribution of total carotenoids on the surface of the banana. The systems consist of the measurement system and the set of a mathematical model which transforms each pixel of spatial to a value representing the number of the carotenoids in banana. The measurement system composed a workbench, halogen light source, and hyperspectral camera that connected to PC using Camera Link interfaces. The partial least square regression was used to compute transformation model between the reflectance and the total carotenoids value. The ground truth value of carotenoids content was calculated on banana peel using Sims-Gamon methods. The proposed system was evaluated using 30 samples of Ambon bananas (Musa paradisiaca) which consist of 10 samples for each maturity level. In the full wavelength range, the PLSR model provided the root mean square error of 0.7934 % and the correlation coefficient R2 of 0.94 in predicting the total carotenoids content in banana. Finally, the proposed system could be used in analyzing the distribution of the carotene in banana.
KW - banana
KW - carotenoids
KW - partial least square
KW - profile map
UR - http://www.scopus.com/inward/record.url?scp=85037120244&partnerID=8YFLogxK
U2 - 10.1109/ICA.2017.8068433
DO - 10.1109/ICA.2017.8068433
M3 - Conference contribution
AN - SCOPUS:85037120244
T3 - Proceedings of the 2017 5th International Conference on Instrumentation, Control, and Automation, ICA 2017
SP - 163
EP - 166
BT - Proceedings of the 2017 5th International Conference on Instrumentation, Control, and Automation, ICA 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Conference on Instrumentation, Control, and Automation, ICA 2017
Y2 - 9 August 2017 through 11 August 2017
ER -