Abstract:Rottenness is most prevalent and devastating disease that threats citrus fruit. Automatic detection of early rottenness can enhance the competitiveness and profitability of the citrus industry. However, there is no efficient automatic detection technology at this time that could detect this disease. The navel orange was selected as research objective. Hyperspectral fluorescence imaging was used to detect early rottenness in orange. Optimum index factor (OIF) method was applied to identify the optimal band combination. 100% detection rate was achieved based on the optimal bands ratio image and two threshold values. The research showed that the proposed method can effectively overcome the affect from florescence effect because stem damage area and stem also can produce florescence under ultraviolet light. This study will lay a foundation for developing multispectral detection system used in on-line detection of early rottenness fruit.
Key words:Hyperspectral fluorescence images;Band ratio algorithm;OIF method;Navel oranges;Early rottenness;Stem damage
[1] CHENG Jia-zhuang, WEI Xiao-yan, FAN Huai-zhong (成家壮, 韦小燕, 范怀忠). Journal of South China Agricultural University(华南农业大学学报), 2004,25(2): 31. [2] GB/T12947—2008,Fresh Citrus(鲜柑橘). [3] Blasco J, Ortiz C, Sabater M D, et al. Proceedings of SPIE, 2000, 4203(47): 47. [4] Gómez-Sanchis J, Gómez-Chova L, Aleixos N, et al. Journal of Food Engineering, 2008, 89(1): 80. [5] Blasco J, Aleixos N, Gómez J, et al. Journal of Food Engineering, 2007, 83(3): 384. [6] Jiang L, Zhu B, Rao X Q, et al. Journal of Food Engineering, 2007, 81(1): 108. [7] Kim M S, Chen Y R, Cho B K. Sens. & Instrumen. Food Qual., 2007, 1: 151. [8] YI Qiu-xiang, HUANG Jing-feng, WANG Xiu-zhen(易秋香, 黄敬峰, 王秀珍). Journal of Infrared and Millimeter Waves(红外与毫米波学报), 2005,26(5): 393. [9] Vargas A M, Kim M S, Tao Y, et al. Journal of Food Science, 2005, 70(8): 471. [10] Niphadkar N P, Qin J W, Burks T F, et al. Paper No.096254, ASABE Meeting, Reno, Nevada, USA,2009. [11] Zhao X H, Burks T F, Qin J W, et al. Sensing and Instrumentation for Food Quality and Safety, 2010, 4: 126. [12] CAI Jian-rong, WANG Jian-hei,CHEN Quan-sheng, et al(蔡健荣,王建黑,陈全胜,等). Transaction of the Chinese Society of Agricultural Engineering(农业工程学报), 2009, 25(1): 127. [13] Xin M, Peng G, Sarah S, et al. Photogrammetric engineering & remote sensing,2007, 7: 1. [14] DONG Guang-jun, ZHANG Yong-sheng, FAN Yong-hong(董广军, 张永生, 范永弘). Journal of Infrared and Millimeter Waves(红外与毫米波学报), 2006,25(6): 123. [15] Shafri H Z M, Anuar M I, Saripan M I. Journal of Appled Remote Sensing, 2009, 3(033556): 1. [16] LI Jiang-bo, RAO Xiu-qin, YING Yi-bin, et al(李江波,饶秀勤,应义斌,等). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报), 2009, 25(12): 133.