辣椒早疫病潜育期的光谱特性判别方法  

Spectral Characteristics Identification Method for the Incubation Period of Chili Early Blight Disease

作　　者：沈梦姣 鲍浩 张艳[1,2] SHEN Meng-jiao;BAO Hao;ZHANG Yan(Guiyang University,Guizhou Agricultural Products Nondestructive Testing Center,Guiyang 550005,China;School of Big Data and Information Engineering,Guizhou University,Guiyang 550025,China)

机构地区：[1]贵阳学院贵州省农产品无损检测中心,贵州贵阳550005 [2]贵州大学大数据与信息工程学院,贵州贵阳550025

出　　处：《光谱学与光谱分析》2024年第10期2923-2931,共9页Spectroscopy and Spectral Analysis

基　　金：国家自然科学基金项目(62265003,62141501)资助。

摘　　要：辣椒早疫病是影响辣椒安全生长的常见生物灾害,具有突发性和易感性等特点,容易引发大的经济损失。在辣椒生长过程中,针对病害潜育期侵染情况进行科学监测预警是保证作物健康生长的重要前提。利用400~1000 nm波段的高光谱图像结合光谱相似性测度方法建立作物病害潜育期的光谱特性判别方法。针对接种早疫病病菌的辣椒叶片和健康叶片,用高光谱成像仪连续动态监测其不同感染期的高光谱图像。对试验采集的一系列高光谱图像提取感兴趣区的平均光谱,通过卷积平滑、多元散射校正以及最大最小归一化方法(SG-MSC-MMN)预处理,进而提出以光谱角余弦-相关系数和切比雪夫距离两种测度作为早疫病潜育期的光谱特性评价参数。最后利用主成分分析(PCA)验证潜育期的光谱特性判别方法效果,实现样本潜育期的可视化分布。试验结果显示:利用光谱角余弦-相关系数与切比雪夫距离作为辣椒早疫病潜育期的光谱特性评价参数并分别建立相应的判别方法是可行的,且根据这两种判别方法得到的辣椒早疫病潜育期最早可识别时间均为接种后24 h。根据PCA绘制得到接种24 h时的健康-接种样本空间分布情况,分别验证所提出的两种基于光谱特性的潜育期最早可识别时间判别方法。建立的辣椒早疫病潜育期最早可识别时间判别方法可推广应用于其他作物病害潜育期的监测识别,为作物病害潜育期的科学防治提供理论参考与方法借鉴。Early blight of chili peppers is a common biological disaster that affects the safe production of chili peppers.It is characterized by suddenness and susceptibility and can easily cause significant economic losses.During the growth process of chili peppers,scientific monitoring and early warning of disease infestation during the incubation period is an important prerequisite for ensuring the healthy growth of crops.This paper establishes the spectral characteristics discriminative model of crop disease incubation period using the hyperspectral image with the working band of 400~1000 nm and the spectral similarity measurement method.Continuous and dynamic monitoring of hyperspectral images of pepper leaves and healthy leaves inoculated with early blight pathogens at different infection stages using a hyperspectral imager.Extract the average spectrum of the region of interest from a series of hyperspectral images collected in the experiment and preprocess it using convolutional smoothing,multivariate scattering correction,and maximum minimum normalization method(SG-MSC-MMN).Then,two measures,spectral angle cosine correlation coefficient,and Chebyshev distance,are proposed as spectral characteristics evaluation parameters for the incubation period of early blight.Finally,principal component analysis(PCA)was used to verify the results of the spectral characteristics discriminative model of the incubation period to realize the visual distribution of the incubation period of samples.The experimental results show that it is feasible to use the spectral angle cosine correlation coefficient and Chebyshev distance as the spectral characteristic evaluation parameters of the incubation period of early blight of pepper and establish the corresponding discriminative model,respectively,and the earliest identifiable time of incubation period of early blight of pepper obtained from these two discriminative models is 24 hours after inoculation.According to the PCA drawing,the spatial distribution of health vaccination samples duri

关 键 词：光谱特性 光谱角余弦-相关系数 切比雪夫距离 辣椒早疫病 潜育期最早可识别时间判别 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]