黄光群,王晓燕,韩鲁佳.基于支持向量机的有机肥总养分含量NIRS分析[J].农业机械学报,2010,41(2):93-98.
Huang Guangqun,Wang Xiaoyan,Han Lujia.Near-infrared Reflectance Spectroscopy for Total Nutrient Analysis in Organic Fertilizer Using Linear Support Vector Machine[J].Transactions of the Chinese Society for Agricultural Machinery,2010,41(2):93-98.
摘要点击次数: 3360
全文下载次数: 63
基于支持向量机的有机肥总养分含量NIRS分析   [下载全文]
Near-infrared Reflectance Spectroscopy for Total Nutrient Analysis in Organic Fertilizer Using Linear Support Vector Machine   [Download Pdf][in English]
  
DOI:10.3969/j.issn.1000-1298.[year].[issue].[sequence]
中文关键词:  有机肥〓养分〓支持向量机〓偏最小二乘〓近红外漫反射光谱
基金项目:“十一五”国家科技支撑计划资助项目 (2006BAD07A13—2、2006BAD10B05);高等学校博士学科点专项科研基金资助项目(20090008120008)
作者单位
黄光群 中国农业大学 
王晓燕 中国农业机械化科学研究院 
韩鲁佳 中国农业大学 
中文摘要:以我国22个省市的120份畜禽粪便为原料的有机肥产品样品为研究对象,利用近红外漫反射光谱法与支持向量机相结合建立了有机肥产品中总养分含量的快速测定模型,并与偏最小二乘法所建模型作了比较。利用偏最小二乘回归法所建立的基于原始样品和干燥粉碎样品的总养分含量近红外模型验证决定系数Rv2、预测标准差SEP和验证相对分析误差RPD分别为0.96、7.95g/kg、2.47和0.93、8.02g/kg、3.58。利用支持向量机回归法所建立的干燥粉碎样品中总养分含量的近红外模型验证决定系数Rv2、预测标准差SEP和验证相对分析误差RPD分别为0.93、7.38g/kg和3.88。结果表明,近红外漫反射光谱法可以快速测定畜禽粪便为原料的有机肥产品中总养分含量,与偏最小二乘法相比,支持向量机所建模型具有更高的预测精度。
Huang Guangqun  Wang Xiaoyan  Han Lujia
China Agricultural University;Chinese Academy of Agricultural Mechanization Sciences;China Agricultural University
Key Words:Organic fertilizer  Nutrient  Support vector machine  Partial least squares  Near-infrared reflectance spectroscopy
Abstract:A new method was explored to predict the total nutrient content in organic fertilizer products using near-infrared reflectance spectroscopy (NIRS) with linear support vector machine regression (SVR), compared with partial least-squares regression (PLSR). 120 commercial organic fertilizer samples were collected from 22 provinces in China. Spectra of orient and dried (passed 1 mm screen) samples were scanned with a SPECTRUM ONE NTS (PerkinElmer, New Jersey, USA) from 10000 to 4000cm-1,respectively. NIRS—PLSR models for total nutrient in organic fertilizer products samples on orient and dried basis were developed with the following results: the determination coefficient of validation (Rv2), the standard error of prediction (SEP) and RPD (SD/SEP) on orient and dried basis were 0.96, 7.95g/kg,2.47 and 0.93, 8.02g/kg, 3.58, respectively. The validation results of NIRS—SVR model for total nutrient content on dried basis were Rv2 0.93, SEP 7.38g/kg and RPD 3.88.Results showed the feasibility and potential of NIRS to predict total nutrient content in organic fertilizer products, and NIRS-SVR method on dried basis is the best choice.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

   下载PDF阅读器