员玉良,盛文溢.基于主成分回归的茎直径动态变化预测方法[J].农业机械学报,2015,46(1):306-314.
Yun Yuliang,Sheng Wenyi.Prediction of Stem Diameter Variations Based on Principal Component Regression[J].Transactions of the Chinese Society for Agricultural Machinery,2015,46(1):306-314.
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基于主成分回归的茎直径动态变化预测方法   [下载全文]
Prediction of Stem Diameter Variations Based on Principal Component Regression   [Download Pdf][in English]
投稿时间:2014-03-03  
DOI:10.6041/j.issn.1000-1298.2015.01.043
中文关键词:  茎直径 动态变化 预测 主成分分析 回归
基金项目:国家科技部国际合作资助项目(2010DFA34670)、中国农业大学研究生科研创新专项资助项目(2013YJ008)和中德联合研究小组资助项目(GZ494)
作者单位
员玉良 中国农业大学
青岛农业大学 
盛文溢 中国农业大学 
中文摘要:影响植物茎直径变化的因素有很多,除了植物的自然生长外,气象因子和土壤含水率也是十分重要的因素。以空气温度、相对湿度、气压和光合有效辐射4个温室内的主要气象因子和土壤含水率为观测对象,对处于生长末期的4株温室向日葵样本和2株西红柿样本进行监测试验。以其中一株向日葵样本为对象,对其茎直径变化的影响因素作主成分分析并建立回归模型。将试验样本上的监测数据输入模型,对向日葵样本和西红柿样本的茎直径变化量进行预测,并分别与其各自实测值比较。结果显示,该回归模型对处于生长末期的温室向日葵和西红柿茎直径动态变化有较好的预测,预测值与实测值相关分析的决定系数为0.649~0.782,均方根误差为0.029~0.143。
Yun Yuliang  Sheng Wenyi
China Agricultural University;Qingdao Agricultural University and China Agricultural University
Key Words:Stem diameter Dynamics Prediction Principal component analysis Regression
Abstract:Among the various factors affecting the variation of plant stem diameter, meteorological conditions and soil water content are very important ones,besides natural growth. Soil water content together with four main meteorological parameters in greenhouse, including air temperature, relative humidity, pressure and photosynthetically active radiation, were selected for observing with four sunflower samples and two tomato samples at late stage of growth. Using part of the data measured from one sunflower sample, the principal component analysis was performed to set up a regression model. Data from sunflower samples and tomato samples were input to the model to predict the stem diameter variations of the sunflower samples and tomato samples and compared with the observed stem diameter variations. Comparison results showed that the regression model had a good prediction for the dynamics of stem diameter variations in sunflowers and tomatoes at late growth stage. The coefficients of determination in correlation analysis were above 0.6 and reached 0.649~0.782, while the root mean square errors were 0.029~0.143.

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.

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