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高光谱成像与图像结合进行油菜角果蚜虫侵染的定位识别
  • ISSN号:1000-0593
  • 期刊名称:《光谱学与光谱分析》
  • 时间:0
  • 分类:S431.9[农业科学—农业昆虫与害虫防治;农业科学—植物保护]
  • 作者机构:[1]浙江大学宁波理工学院,浙江宁波315100, [2]金华职业技术学院,浙江金华321017, [3]浙江经济职业技术学院,浙江杭州310018, [4]浙江省农业机械研究院,浙江金华321017, [5]浙江大学生物系统工程与食品科学学院,浙江杭州310058
  • 相关基金:国家自然科学基金项目(31471417); 国家(863)计划项目(2013AA102301)资助
中文摘要:

油菜蚜虫可造成油菜籽的严重减产,及早进行油菜蚜虫判别以及其侵染定位识别有助于精准喷药。采用可见-近红外高光谱成像技术结合图像分析对185个蚜虫侵染以及138个健康油菜角果进行判别,并进行蚜虫的定位分析。首先采用主成分分析法(PCA)对两类样本的平均光谱进行聚类分析,并基于X-loading得出737nm波段可作为判断蚜虫的重要波段,采用Boxplot进行两类样本间单波段处的统计分析,同时得出基于737nm波段判断蚜虫侵染油菜角果的线性公式为y=2.917 6-3.345 7x(x为样本在737nm处的光谱值,y为样本的分类预测值)。采用此公式对实验样本进行判别分析,可以发现角果蚜虫识别率为99.0%。同时基于737nm处的油菜角果单波段灰度图进行蚜虫的定位识别,可以得到蚜虫的识别率为81.1%。结果表明,采用737nm处的单波段光谱信息以及图像信息可进行油菜角果蚜虫侵染的定位识别,为进一步开发便携仪检测仪以及精准喷药提供理论和方法依据。

英文摘要:

Rape aphids can reduce the production and quality of rapeseed seriously,so early discrimination of the rape aphids and identification of the infection location are helpful for precisely spraying pesticide.In this study,hyperspectral imaging in visible and near-infrared region combined with imaging processing were employed to discriminate the healthy and aphid infected rape pods,as well as identify the location of rape aphids.Here,a total of 323 samples covering 138 healthy and 185aphid-infected rape pods was investigated.Firstly,principal component analysis(PCA)was used to conduct the cluster analysis of the two groups rape pods,and the wavelength at 737 nm selected by X-loading was considered as an important waveband for the purpose of aphid discrimination.Then,statistical analysis of spectral data from the two groups' samples at single band(737nm)was finished by boxplot.At the same time,a linear equation y=2.917 6-3.345 7x(xrepresented the spectral data of 737 nm,y denoted the predicted dummy classes)was obtained based on above analysis.Relying on the linear equation,discriminant analysis was carried out for the 323 samples and the recognition accuracy reached 99.0%.Next,the location of rape pods was identified based on the single band grayscale images.For the infected rape pods,the method led to an overall detection accuracy of81.1%.The results revealed that the spectral data at 737 nm and its image information is a promising tool for identifying the location of aphids in rape pods,which could provide a theoretical reference and basis for designing the handheld detection system and the precise spraying of rape industry in the further work.

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期刊信息
  • 《光谱学与光谱分析》
  • 中国科技核心期刊
  • 主管单位:中国科学技术协会
  • 主办单位:中国光学学会
  • 主编:高松
  • 地址:北京海淀区魏公村学院南路76号
  • 邮编:100081
  • 邮箱:chngpxygpfx@vip.sina.com
  • 电话:010-62181070
  • 国际标准刊号:ISSN:1000-0593
  • 国内统一刊号:ISSN:11-2200/O4
  • 邮发代号:82-68
  • 获奖情况:
  • 1992年北京出版局编辑质量奖,1996年中国科协优秀科技期刊奖,1997-2000获中国科协择优支持基础性高科技学术期刊奖
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,美国化学文摘(网络版),荷兰文摘与引文数据库,美国工程索引,美国生物医学检索系统,美国科学引文索引(扩展库),英国科学文摘数据库,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版),英国英国皇家化学学会文摘,中国北大核心期刊(2000版)
  • 被引量:40642