2020
DOI: 10.3788/lop57.233002
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LIBS-Based Element Detection and Quality Identification of Huanglongbing Navel Oranges

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“…Specifically, the characteristic spectral intensities of P(II), Mn(I), Si(I), and Fe(I) exhibit a sequential decrease in citrus leaves categorized as healthy, moderately infected with HLB, and severely infected with HLB. Zhang et al 80 rapidly discriminated between healthy and Huanglongbing states in Gan-Nan oranges' juice using LIBS technology. Leveraging Principal Component Analysis and neural network models applied to juice LIBS spectra, they achieved a prompt assessment of the juice's health status and whether it was influenced by Huanglongbing.…”
Section: Advancements In Plant Disease Detectionmentioning
confidence: 99%
“…Specifically, the characteristic spectral intensities of P(II), Mn(I), Si(I), and Fe(I) exhibit a sequential decrease in citrus leaves categorized as healthy, moderately infected with HLB, and severely infected with HLB. Zhang et al 80 rapidly discriminated between healthy and Huanglongbing states in Gan-Nan oranges' juice using LIBS technology. Leveraging Principal Component Analysis and neural network models applied to juice LIBS spectra, they achieved a prompt assessment of the juice's health status and whether it was influenced by Huanglongbing.…”
Section: Advancements In Plant Disease Detectionmentioning
confidence: 99%