| 基于GA-LS-SVM的水稻叶片含氮率预测 |
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| 引用本文： | 孙俊,毛罕平,羊一清.基于GA-LS-SVM的水稻叶片含氮率预测[J].江苏大学学报(自然科学版),2010,31(1). |
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| 作者姓名： | 孙俊 毛罕平 羊一清 |
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| 作者单位： | 1. 江苏大学,江苏省现代农业装备与技术重点实验室,江苏,镇江,212013;江苏大学,电气信息工程学院,江苏,镇江,212013
2. 江苏大学,江苏省现代农业装备与技术重点实验室,江苏,镇江,212013 |
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| 基金项目： | 国家高技术研究发展计划“863”项目(2008AA10Z204);;中国博士后科学基金面上资助项目(20070420972);;江苏大学高级专业人才科研启动基金资助项目(05JDG050);;常州市青年科技人才培养计划项目(CQ2008009) |
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| 摘 要： | 采用水稻无土栽培方法人为控制含氮率,在水稻某特定生长期,同时测量水稻冠层反射率和叶片含氮率,建立了基于冠层反射率的水稻叶片氮含率的回归预测模型.通过分析不同氮环境下各冠层反射率光谱图,确定了与水稻含氮率相关性高的特征波段.针对最小二乘支持向量机(leastsquares support vector machines,LS-SVM)参数难定问题,采用遗传算法对LS-SVM参数进行优化.试验结果表明,传统人为选定参数的LS-SVM算法模型的平均回判精确率达到97.21%,预测平均误差率达到5.70%,遗传算法最小二乘支持向量机(genetic algorithm least squares support vec-tor machines,GA-LS-SVM)算法模型的平均回判精确率达到99.60%,预测平均误差率达到2.72%.GA-LS-SVM算法模型的回判及预测效果均明显优于人为选定参数的LS-SVM算法.
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| 关 键 词： | 水稻 氮素 冠层 光谱反射率 GA-LS-SVM算法 |
Prediction of nitrogen content rate of paddy rice leaf based on GA-LS-SVM |
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| Sun Jun,Mao Hanping,Yang Yiqing.Prediction of nitrogen content rate of paddy rice leaf based on GA-LS-SVM[J].Journal of Jiangsu University:Natural Science Edition,2010,31(1). |
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| Authors: | Sun Jun Mao Hanping Yang Yiqing |
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| Institution: | 1.Jiangsu Provincial Key Laboratory of Modern Agricultural Equipment and Technology/a>;Jiangsu University/a>;Zhenjiang/a>;Jiangsu 212013/a>;China/a>;2.School of Electrical and Information Engineering/a>;China |
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| Abstract: | A prediction model of paddy rice leaf nitrogen content rate was built based on canopy spectrum reflectivity.The paddy rice of every nitrogen content was cultivated by man-made control,At a certain vegetation period,the paddy rice canopy spectrum reflectivity was gathered and the leaf nitrogen content rate was measured at the same time.Each canopy spectrum image was analyzed,and the characteristic wave band was chosen which matches the high relativity coefficient.Because the LS-SVM's parameters were difficul... |
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| Keywords: | paddy rice nitrogen canopy spectrum reflectivity GA-LS-SVM arithmetic |
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