Journal
APPLIED OPTICS
Volume 60, Issue 20, Pages 5846-5853Publisher
OPTICAL SOC AMER
DOI: 10.1364/AO.427856
Keywords
-
Categories
Funding
- National Natural Science Foundation of China [31560482, 31772072]
- Education Department of Jiangxi Province [GJJ180188]
- Natural Science Research of Jiangsu Higher Education Institutions of China [20KJB140013]
- Natural Science Foundation of Jiangsu Province [BK20200190]
Ask authors/readers for more resources
The study used LIBS technology to classify citrus huanglongbing, achieving 100% classification accuracy by analyzing the physical characteristics and chemical composition of the fruit.
Laser-induced breakdown spectroscopy (LIBS) is a promising alternative to conventional methods in classifying citrus huanglongbing (HLB). Mature citrus fruits with similar features were picked and divided into healthy and HLB-asymptomatic groups. LIBS spectra and images were collected by focusing a laser on fresh fruit surfaces without sample preparation. The pH value and soluble solids content of juice as the indicators of acidity and sugar were detected, and the content of Ca, Zn, and K in peel and pulp was analyzed. The characteristic lines from LIBS spectra were extracted by continuous wavelet transform and principal component analysis (PCA). The t-test of these indicators displayed significant difference between the two groups. Fisher discriminant analysis and multilayer perception neural network (MLP) were applied to identify the disease. The classification accuracy reached 100% by PCA-MLP. The results show that LIBS can realize in situ detection of citrus HLB fruits. (C) 2021 Optical Society of America
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available