基于SVM和回归分析的玉米叶片叶绿素含量及表型参数研究-计算机技术专业论文.docxVIP

玉米叶片叶绿素含量及表型参数研究S，IUDY 玉米叶片叶绿素含量及表型参数研究 S，IUDY ON CHLOROPHYII CONTE】NTS AND HPENOTYPIC R姒Ⅳ匝NTeRS OF MAIZE LEAF BASED ON THE SVM AND REGRESSION ANAI YSIS ABSTRACT Maize is important crop，and its planting area is the third largest in the world，second only to wheat and rice．Maize yield has important impact on the worldwide food security．Chlorophyll is important pigment for photosynthetic．It has irreplaceable role in the growth of plants． Phenotypic traits are closely related to plant nutrition，biological and non—biological factors，and plant breeding． In this paper，we use multi—spectral camera to take images of maize leaf．Then the spectral information of maize leaf is obtained by using tool software；chlorophyll contents are detected by a chlorophyll mete。Based support vector machine(SVM)，we accurately classify three-period maize with the prediction accuracy,higher than 0．8．We establish relational model between spectrum data and chlorophyll contents by using linear and nonlinear regression，and estimate chlorophyll contents under the experimental conditions．On the other hand，chlorophyll distribution of maize leaf is studied，and we find distributing law of chlorophyll along the length and width direction of maize leaf．On the length direction，chlorophyll content in seeding stage is the rise， relatively average in heading stage，and unstable in flower stage．On the width，chlorophyll content is basically symmetrical．In terms of phenotypic parameters of maize leaf,maize leaf contour curve fitting and mathematical expression of leaf shape are studied。And the experimental results using 25 sets of data show that maize leaf profile conforms to quadratic equation，correlation coefficients reaches 0。9 above． KEYWORDS：spectroscopy；chlorophyll prediction；chlorophyll distribution； non—linear regression；phenotypic parameters II 万方数据 内蒙古大学硕士学位论文目录 内蒙古大学硕士学位论文 目录 摘要 I ABSTRACT ． 。 II 第1章绪论 1 1．1研究背景 1 1．2研究意义 1 1．3国内外研究现状 2 1．3．1叶绿素预测研究现状 2 1．3．2植物表型性状研究现状 。 ．．3 1．4本文研究内容 4 1．5论文组织结构 4 第2章实验