基于图像处理技术的夏玉米叶面积指数估算方法研究  

Study on Measuring Leaf Area Index of Summer Maize Based on Image Processing Technique

作　　者：李荣春[1] 陶洪斌[1] 张竹琴[1] 王璞[1] 廖树华[1] 

机构地区：[1]中国农业大学农学与生物技术学院,北京100193

出　　处：《安徽农业科学》2009年第26期12871-12872,共2页Journal of Anhui Agricultural Sciences

基　　金：国家863课题(2006AA10A303-1)

摘　　要：在大田条件下固定数码相机高度垂直拍摄夏玉米拔节期和大喇叭口期的群体图像,利用图像处理技术获取玉米地面覆盖度,建立覆盖度和叶面积指数间的关系模型。结果表明,覆盖度和叶面积指数间存在极显著相关关系(r2=0.954 7),模型的拟和度较高,对模型进行检验可知,模型的预测精度达到90.56%,说明利用图像处理技术估算夏玉米LAI具有很好的可行性。Under field conditions, the group images of summer maize were obtained vertically by a digital camera from fixed height, .then the test established the relation models between ground coverage rate（GCR） extracted from images using processing technique and leaf area index （LAI）, which was measured by traditional methods. The results showed that LAI were significantly correlated with GCR（ r2 = 0. 954 7 ）. It has better feasibility to monitor the growth of summer maize via using image processing technique, with a correct percent of 90.56%.

关 键 词：图像处理技术 叶面积指数 模型 

分 类 号：S126[农业科学—农业基础科学]