Study on Early Detection of Gray Mold on Tomato Leaves Using Hyperspectral Imaging Technique
YU Jia-jia1,2, HE Yong2*
1. College of Electrical and Electronics Engineering, Zhejiang Institute of Mechanical & Electrical Engineering, Hangzhou 310053, China 2. College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
Abstract：The present paper put forward the technology route for feature images extraction of grey mold sick on tomato leaves based on SIMCA—combination image extraction based on MLR—grey mold sick information extraction based on minimum distance method. Firstly, through the 680～740 nm band’s variance image and the discrimination power parameter, the feature band images was found, then the feature bands information was used as the input of MLR analysis, and under the 0.5 accuracy threshold value, 99% accuracy was obtained, which showed the discrimination power of the features bands for grey mold sick tomato leaf detection, and using the MLR regression coefficient to extract a band combination image, and through the minimum distance method, tomato grey mold sick information was found. The result shows that the proposed method has a very good prediction ability and greatly reduces the hyperspectral data processing time.
Key words：Hyperspectral imaging technique;Principal component regression analysis;Multiple linear regression analysis;Least squares support vector machine;Tomato;Gray mold
虞佳佳1，2，何 勇2*. 基于高光谱成像技术的番茄叶片灰霉病早期检测研究[J]. 光谱学与光谱分析, 2013, 33(08): 2168-2171.
YU Jia-jia1,2, HE Yong2*. Study on Early Detection of Gray Mold on Tomato Leaves Using Hyperspectral Imaging Technique. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33(08): 2168-2171.
[1] YAO Shi-tong, LU Zhi-jie, JIN Zhou-hao(姚士桐, 陆志杰, 金周浩). Chinese Agricultural Science Bulletin(中国农业通报), 2011, 27(10): 194. [2] TIAN You-wen, LI Tian-lai, ZHANG Lin(田有文, 李天来, 张 琳). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报), 2010, 26(5): 202. [3] LIU Fei, FENG Lei, CHAI Rong-yao(刘 飞, 冯 雷, 柴荣耀). Acta Optica Sinica(光学学报), 2010, 30(2): 585. [4] Zhao Y, Xu X, Liu F, et al. Analytica Chimica Acta, 2012, 55(1): 281. [5] FENG Lei, CHEN Shuang-shuang, FENG Bin(冯 雷, 陈双双, 冯 斌). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报), 2012, 28(1): 139. [6] Xu G L, Zhang F L, Shah S G. Patten Recognition Letters, 2011, 32(11): 1584. [7] PENG Yan-ying, SUN Xu-dong, LIU Yan-de(彭彦颖, 孙旭东, 刘燕德). Laser & Infrared(激光与红外)，2010, 40(6): 586. [8] QIAN Le-xiang, PAN Xue-qin, ZHAO Qian(钱乐祥, 泮学芹, 赵 芊). Remote Sensing For Land & Resources(国土资源遥感), 2004, 2: 1. [9] CAO Wen-xi, YANG Yue-zhong, WANG Gui-fen(曹文熙, 杨跃忠, 王桂芬). Journal of Tropical Oceanography(热带海洋学报), 2010, 29(2): 17. [10] GAN Fu-ping, WANG Run-sheng(甘甫平, 王润生). Remote Sensing For Land & Resources(国土资源遥感), 2007, 4: 57. [11] WEI Wei, LI Zeng-yuan. Forest Research, 2011, 24(3): 300. [12] Wold Svante, Sjostrom Michael. American Chemical Society, 1977，527: 243. [13] Schuldt C. Proccedings of the International Conference on, 2004, 3: 33. [14] Langeron Y, Doussot M, Hewson D J, et al. Engineering Applications of Artificial Intelligence, 2007, 20(3): 415. [15] Tang Yimeng. Computer Simulation, 2010, 27(2): 59.
