Early Monitoring of Pine Wilt Disease in Pinus massioniana based on Hyperspectral Data

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We selected healthy Pinus massioniana for pine wood nematode inoculation experiments to get the spectral reflectance of healthy and infected Pinus massioniana in different infection stages via a ground spectrometer( wavelength in 350- 2 500 nm),and analyzed the changes in chlorophyll content at various periods.The original spectral reflectance of healthy and infected P. massoniana was significantly different in the middle and late infection stages,and the reflection peak and absorption valley in visible light region and near infrared region gradually weakened and even disappeared to a straight line. There was significant correlation relationship between chlorophyll content of infected plants and spectral reflectance at the wavelength of 1 405 nm,and the quantitative inversion model of chlorophyll content was correspondingly established as follows: C_(HL)=- 1. 74( X_(1405))~2+ 4. 72X_(1405)- 0. 76. Through first-order derivative spectra at the wavelength of 593 nm,combined with quantitative inversion of the corresponding chlorophyll content,we can discriminate whether P. massoniana is infected by pine wilt disease or not,especially in the early stages before disease features are visible to the naked eyes it has a good quantitative monitoring effect. We selected healthy Pinus massioniana for pine wood nematode inoculation experiments to get the spectral reflectance of healthy and infected Pinus massioniana in a ground spectrometer (wavelength in 350-2 500 nm), and analyzed the changes in chlorophyll content at various periods The original spectral reflectance of healthy and infected P. massoniana was significantly different in the middle and late infection stages, and the reflection peak and absorption valley in visible light region and near disappeared to a straight line. There was significant correlation relationship between chlorophyll content of infected plants and spectral reflectance at the wavelength of 1 405 nm, and the quantitative inversion model of chlorophyll content were correspondingly established as follows: C HL = -1.74 X - 1405 ~ 2+ 4. 72X - (1405) - 0.76. Through first-order derivative spectra at the wavelength of 593 nm, combined with quantita tive inversion of the corresponding chlorophyll content, we can discriminate whether P. massoniana is infected by pine wilt disease or not, especially in the early stages before disease features are visible to the naked eyes it has a good quantitative monitoring effect.
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