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基于数字图像处理技术的玉米长势预测
引用本文:张宝来,张乐佳.基于数字图像处理技术的玉米长势预测[J].农业工程,2017,7(3):163-168.
作者姓名:张宝来  张乐佳
作者单位:1.东北石油大学计算机与信息技术学院,大庆163318
摘    要:玉米长势是指玉米生长的状况与趋势,在生长期内实时掌握长势是玉米生产调控的关键,玉米长势可以通过叶面积、叶尖距、叶基角等特征参数来衡量。吉林省是我国主要的玉米种植区域,种植规模多为小地块,如果采用传统人工方式测量玉米长势,需要耗费大量人力、物力,而遥感技术适用于大面积种植,因此采用人工测量与遥感技术都具有明显的局限性。该研究采用数字图像处理技术,利用固定影像采集设备获取不同生长期玉米多尺度影像,首先利用灰度化和增强技术对影像进行前期预处理,然后使用迭代阈值分割算法提取影像中玉米植株区域,通过图像细化技术并结合参照物标定方法获取玉米植株的株高、叶尖距、叶基角和冠层面积等特征参数,最后对获取的特征参数使用回归分析建立玉米长势模型。试验结果证明,提出的方法有效可行,可以作为人工测量和遥感技术必要有益的补充。 

关 键 词:玉米长势    特征参数    数字图像处理    回归分析

Prediction of Corn Growth Based on Digital Image Processing Technology
Zhang Baolai and Zhang Lejia.Prediction of Corn Growth Based on Digital Image Processing Technology[J].Agricultural Engineering,2017,7(3):163-168.
Authors:Zhang Baolai and Zhang Lejia
Abstract:Corn growth refers to status and trends of corn growth.In the growth period,the key of corn production regulation is to real time know growth.Growth of corn can be measured by leaf area,tip distance of leaf and leaf base angle.Jilin province is the main corn planting area in China and planting scale is mostly small plots.If traditional manual method was used to measure growth of corn,it would take a lot of manpower and material resources.While remote sensing technology was suitable for planting in a large area.Therefore,manual measurement and remote sensing technology had obvious limitations.Digital image processing technology was used and multi scale images of corn at different growth stages were obtained by fixed image acquisition equipment.First,grayscale and enhancement techniques were used to preprocess images.Then,an iterative threshold segmentation algorithm was used to extract corn region in the image.Parameters of corn plant height,tip distance of leaf,leaf base angle and canopy area were obtained through image thinning technology which combined with reference calibration method.Finally,corn growth model was established by regression analysis on acquired characteristic parameters.Test results showed that the method was effective and feasible.And it could be served as a necessary and useful supplement to manual measurement and remote sensing technology. 
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