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图像处理技术在冬小麦叶面积指数测定中的应用

作  者:
王桂琴;郑丽敏;朱虹;梁振兴;廖树华
单  位:
中国农业大学信息与电气工程学院;中国农业大学农学与生物技术学院
关键词:
叶面积指数(LAI);图像处理;模型
摘  要:
为了探讨利用图像处理技术测定冬小麦叶面积指数的可行性,在室外光照条件下,固定数码相机高度垂直拍摄冬小麦群体图像,利用图像处理技术获取小麦冠层的图像叶面积指数(ILAI),并用手工测量获得小麦群体实际叶面积指数(LAI),建立ILAI和LAI间与施肥处理有关的关系模型,对该模型的稳定性和实用性进行统计检验。试验结果表明,利用图像处理技术通过ILAI获取小麦LAI是可行的,且简便易行,测量精度和效率都很高。
译  名:
Application of Image Processing Technology in Wheat Canopy Leaf Area Index Measuring
作  者:
WANG Gui-qin~1, ZHENG Li-min~2, ZHU Hong~2, LIANG Zhen-xing~1, LIAO Shu-hua~1(1. College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100094; 2. College of Information and Electrical Engineering, China Agricultural University, Beijing, 100094)
关键词:
Leaf area index (LAI); Image processing; Model
摘  要:
A method of measuring winter wheat leaf area index based on image processing technology was (studied). In the outdoor ray, the test was to get wheat canopy image leaf area index (ILAI) with digital camera in fixed height, and obtain wheat leaf area index (LAI) by handing measure at the same time. The model was made between ILAI and LAI in the condition of different fertilizer levels, and its stabilization and practicality were tested . Generally, the results showed that this method had better feasibility, higher precision and higher efficiency.

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