农业工程学报2011，Vol.27Issue(3)：237-241,5.DOI:10.3969/j.issn.1002-6819.2011.03.045
基于支持向量机模型和图像处理技术的甜椒叶面积测定
Determination of leaf area of sweet pepper based on support vector machine model and image processing
摘要
Abstract
As a vital organ for crop photosynthesis, leaf is one of the major biological indicators in the study on light absorption by crops. Support Vector Machine (SVM) theory was used to set up a SVM model for determination of leaf area of sweet pepper, the input parameters were the leaf length, maximum width of the leaf, and the output parameters were the leaf areas. Data measured by computer image processing technology were trained as samples, the length,maximum width of the leaf were used as input parameters to simulate and test the leaf area. The results were compared with those of linear regression and artificial neural network model. The results showed that the maximum error of leaf area determined by support vector machine model was 6.09％, and the average error was 2.73％, the simulation accuracy was 0.996. This method can well reflect the actual size of leaf area of sweet pepper, and has good practical value and application prospect.关键词
支持向量机/模型/图像处理/甜椒/叶面积/测定Key words
support vector machine/ models/ image processing/ sweet pepper/ leaf area/ determination分类
农业科技引用本文复制引用
宰松梅,温季,郭冬冬,韩启彪,邓忠,孙浩,赵东彬..基于支持向量机模型和图像处理技术的甜椒叶面积测定[J].农业工程学报,2011,27(3):237-241,5.基金项目
国家863计划课题(2006AA100213) （2006AA100213）
农业科技成果转化资金项目(2009GB23320465 （）
2010GB23260584) （）
