科学家利用Videometer多光谱成像系统发表题为燕麦种子品种的成像分析文章
来自中国的科学家，利用videometer多光谱成像系统，发表了题为“c*rs identification of oat (avena satival.) seedviamultispectral imaging analysis”的文章，文章发表于期刊front plant sci.2023; 14: 1113535.。
品种鉴定在确保燕麦生产质量和生产者利益方面发挥着重要作用。然而，传统的燕麦品种鉴别方法通常具有破坏性、耗时和复杂性。在本研究中，通过使用多光谱成像和多元分析相结合的方法，检验了快速无损检测燕麦种子品种的可行性。应用主成分分析（pca）、线性判别分析（lda）和支持向量机（svm）对16个燕麦品种的种子进行形态特征、光谱特征或其组合分类。
结果表明，利用多光谱成像技术可以很容易地观察到燕麦种子品种之间的明显差异，并且通过结合形态和光谱特征的数据可以实现良好的区分。lda和svm模型的测试集平均分类准确率分别为89.69%和92.71%。因此，多光谱成像与多元分析相结合，为燕麦品种的快速无损鉴定提供了一种新方法。
关键词：燕麦，种子特征，无损识别，线性判别分析，支持向量机
front plant sci.2023; 14: 1113535.
c*rs identification of oat (avena satival.) seedviamultispectral imaging analysis
c*r identification plays an important role in ensuring the quality of oat production and the interests of producers. however, the traditional methods for discrimination of oat c*rs are generally destructive, time-consuming and complex. in this study, the feasibility of a rapid and nondestructive determination of c*rs of oat seeds was examined by using multispectral imaging combined with m*riate analysis. the principal component analysis (pca), linear discrimination analysis (lda) and support vector machines (svm) were applied to classify seeds of 16 oat c*rs according to their morphological features, spectral traits or a combination thereof. the results demonstrate that clear differences among c*rs of oat seeds could be easily visualized using the multispectral imaging technique and an excellent discrimination could be achieved by combining data of the morphological and spectral features. the average classification accuracy of the testing sets was 89.69% for lda, and 92.71% for svm model. therefore, the potential of a new method for rapid and nondestructive identification of oat c*rs was provided by multispectral imaging combined with m*riate analysis.
keywords:oat, seed feature, nondestructive identification, linear discriminant
聚氨酯保温管质量是选购产品的前提
泵水系统变流量的分析
力士乐截止阀DA6VP2A-5X 200FSM原厂
包装标准目录
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科学家利用Videometer多光谱成像系统发表题为燕麦种子品种的成像分析文章
安装不锈钢金属缠绕垫片需要注意哪些问题
湿法脱硫——氨-硫酸铵法
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天车安全滑触线指示灯广泛应用
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粉尘与气体净化滤芯产品技术说明
Warex-valve计量混合点胶机的基本功能
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正确合理使用单效浓缩器的注意事项
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品种鉴定在确保燕麦生产质量和生产者利益方面发挥着重要作用。然而，传统的燕麦品种鉴别方法通常具有破坏性、耗时和复杂性。在本研究中，通过使用多光谱成像和多元分析相结合的方法，检验了快速无损检测燕麦种子品种的可行性。应用主成分分析（pca）、线性判别分析（lda）和支持向量机（svm）对16个燕麦品种的种子进行形态特征、光谱特征或其组合分类。
结果表明，利用多光谱成像技术可以很容易地观察到燕麦种子品种之间的明显差异，并且通过结合形态和光谱特征的数据可以实现良好的区分。lda和svm模型的测试集平均分类准确率分别为89.69%和92.71%。因此，多光谱成像与多元分析相结合，为燕麦品种的快速无损鉴定提供了一种新方法。
关键词：燕麦，种子特征，无损识别，线性判别分析，支持向量机
front plant sci.2023; 14: 1113535.
c*rs identification of oat (avena satival.) seedviamultispectral imaging analysis
c*r identification plays an important role in ensuring the quality of oat production and the interests of producers. however, the traditional methods for discrimination of oat c*rs are generally destructive, time-consuming and complex. in this study, the feasibility of a rapid and nondestructive determination of c*rs of oat seeds was examined by using multispectral imaging combined with m*riate analysis. the principal component analysis (pca), linear discrimination analysis (lda) and support vector machines (svm) were applied to classify seeds of 16 oat c*rs according to their morphological features, spectral traits or a combination thereof. the results demonstrate that clear differences among c*rs of oat seeds could be easily visualized using the multispectral imaging technique and an excellent discrimination could be achieved by combining data of the morphological and spectral features. the average classification accuracy of the testing sets was 89.69% for lda, and 92.71% for svm model. therefore, the potential of a new method for rapid and nondestructive identification of oat c*rs was provided by multispectral imaging combined with m*riate analysis.
keywords:oat, seed feature, nondestructive identification, linear discriminant
聚氨酯保温管质量是选购产品的前提
泵水系统变流量的分析
力士乐截止阀DA6VP2A-5X 200FSM原厂
包装标准目录
上泰PH电极的保养
科学家利用Videometer多光谱成像系统发表题为燕麦种子品种的成像分析文章
安装不锈钢金属缠绕垫片需要注意哪些问题
湿法脱硫——氨-硫酸铵法
AMPTEC 620VN测试仪技术参数
冷水机在激光投影技术上的应用
天车安全滑触线指示灯广泛应用
反应釜中加料的方法以及加料注意事项
粉尘与气体净化滤芯产品技术说明
Warex-valve计量混合点胶机的基本功能
试验机仪器生产流程
正确合理使用单效浓缩器的注意事项
板框压滤机的资源利用
软胶囊水分活度测量仪操作步聚与注意事项
Easysensor间隙水采样器-土壤/沉积物抽漏式取样器
做固废处置领域的专属服务商！格林雷斯做客云访谈深度分享垃圾资源化经验