扬州大学学报（农业与生命科学版）2017，Vol.38Issue(1)：89-93,5.DOI:10.16872/j.cnki.1671-4652.2017.01.017
基于图像处理的小麦种植密度估算研究
Estimation of wheat planting density based on image processing technology
摘要
Abstract
The image color feature of wheat was analyzed by using image processing and the leaf cover degree (LCD) parameter was proposed.The prediction model was established based on different parameters through the correlation analysis between the wheat planting density and different parameters.The results showed that the multiple stepwise regression model with green standardized values (NDIG) and LCD was superior to other single model and hybrid model,which could be used as the quantitative estimation model of wheat planting density.Using the measured data to verify the model,R2 was 0.896 1,reached extremely significant level.The method is feasible,and provides the basis for fast and accurate estimation of the early stage of the wheat planting density.关键词
小麦/种植密度/图像处理/颜色特征/叶片盖度/估算模型Key words
wheat/planting density/image processing/color feature/leaf cover degree/estimation model分类
农业科技引用本文复制引用
武威,刘涛,孙成明,陈雯,陈晨,王瑞..基于图像处理的小麦种植密度估算研究[J].扬州大学学报（农业与生命科学版）,2017,38(1):89-93,5.基金项目
江苏省农业三新工程项目(SXGC[2015330) （SXGC[2015330）
江苏高校优势学科建设工程项目(2014-12) （2014-12）
