农机化研究2016，Vol.38Issue(6)：205-209,5.
马铃薯叶片早疫病的高光谱识别研究
Identification of Early Blight Disease on Potato Leaves Using Hyperspectral Imaging Technique
摘要
Abstract
The purpose of this paper is to realize identification of early blight of potato leaves rapidly , and to achieve ear-ly prevention .Hyperspectral data of healthy and infected potato leaves were obtained by hyperspectral imaging system within the wavelength range of 375~1018 nm for four consecutive days , and the average spectral reflectance of the region of interests were extracted by ENVI software .Effective wavelengths were selected by successive projections algorithm (SPA) and x-loading weights (x-LW), respectively.Error back propagation (BP) neural network and least squares support vector machines ( LS-SVM) identification models were established based on full spectrum ( FS) , SPA, and x-LW, respectively.The results showed that the identification rates of the prediction set are 100%, 100%and 98.33%in FS-BP, SPA-BP, x-LW-BP models and 100%in all of LS-SVM models, respectively.The number of effective wave-length extracted by SPA and x-LW, respectively, accounts for only 1.47%of the total number of wavelengths , simplify-ing the models and improving the rate of operation greatly .The results indicated that it is feasible to identify early blight on potato leaves exactly and quickly using hyperspectral imaging , SPA and x-LW are effective methods to extract charac-teristic wavelengths and it provides a theoretical basis for the development of online real-time detection instrument of ear-ly blight of potato in the field .关键词
马铃薯/早疫病/高光谱成像技术/特征波长/识别模型Key words
potatoes/early blight/hyperspectral imaging technique/effective wavelengths/identification of models分类
农业科技引用本文复制引用
徐明珠,李梅,白志鹏,胡耀华,何勇..马铃薯叶片早疫病的高光谱识别研究[J].农机化研究,2016,38(6):205-209,5.基金项目
国家高技术研究发展计划项目( 2011 AA100705 ) （ 2011 AA100705 ）
国家自然科学基金项目(31071332) （31071332）
