Early Diagnosis of Gray Mold on Tomato Stalks Based on Hyperspectral Data
KONG Wen-wen1, YU Jia-jia1,2, LIU Fei1, HE Yong1, BAO Yi-dan1*
1. College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China 2. Electrical and Electronics Engineering, Zhejiang Vocational and Technological College, Hangzhou 310053, China
Abstract：Early diagnosis of gray mold on tomato stalks based on hyperspectral data was studied in the present paper. A total of 112 samples’ hyperspectral data were collected by hyperspectral imaging system. The study spectral region was from 400 to 1 030 nm. Combined with image processing and chemometric methods, the tomato stalk gray mold diagnosis models were built. Seven effective wavelengths were selected by analysis of variable load distribution in PLS model. The experimental results showed that the excellent results were achieved by EW-LS-SVM model with standard normal variate (SNV) spectral and multiplicative scatter correction (MSC) spectral, and the accuracy of diagnosing gray mold on tomato stalks was satisfied and better than PLS model with whole band. Hence, it is feasible to early diagnose gray mold on tomato stalks using hyperspectral imaging technology, which provides a new early diagnosis and warning method for tomato disease.
孔汶汶1，虞佳佳1,2，刘 飞1，何 勇1，鲍一丹1* . 基于高光谱成像技术的番茄茎秆灰霉病早期诊断研究 [J]. 光谱学与光谱分析, 2013, 33(03): 733-736.
KONG Wen-wen1, YU Jia-jia1,2, LIU Fei1, HE Yong1, BAO Yi-dan1* . Early Diagnosis of Gray Mold on Tomato Stalks Based on Hyperspectral Data . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33(03): 733-736.
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