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《Journal of Anhui Agricultural Sciences》 2011-30
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Study on Estimation Model for Rape Moisture Content under Water Stress Based on Hyperspectral Remote Sensing

ZHANG Xiao-dong et al(Key Laboratory of Modern Agricultural Equipment and Technology,Ministry of Education & Jiangsu Province,Jiangsu University,Zhenjiang,Jiangsu 212013)  
[Objective] The aim of the study was to seek a good anesthetic that using spectral analysis to quantitatively analyze the rape water stress condition.[Method]Region stepwise regression was proposed to select the characteristic wavelength of rape moisture content and establish the model between the moisture content and the spectral reflectance at characteristic wavelength of rape.[Result]From the spectral datum of rape samples under different water levels,it was found that the linear relationships between moisture content of rape and spectral reflectance value at 960,1 450 and 1 650 nm were very notable.The correlation coefficient between the predict value and the measured value was 0.87,the RMSE was 4.57.[Conclusion]The results showed that the method of stepwise regression could select the characteristic wavelengths of rape moisture content accurately and enhance model forecast precision.
【Fund】: 国家自然科学基金项目(61075036);; 中国博士后科学基金项目(20100481097);; 江苏高校优势学科建设工程资助项目(苏财教〔2011〕8号);; 江苏省农业装备与智能化高技术研究重点实验室项目(BM2009703);; 江苏省高校自然科学基础研究重大项目(10KJA210010);; 江苏大学高级专业人才基金项目(10JDG081);江苏大学博士后基金项目
【CateGory Index】: S565.4
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