- Chinese Core Journal
- Chinese Science Citation Database (CSCD) Source journal
- Journal of Citation Report of Chinese S&T Journals (Core Edition)
| Citation: |
DENG Xiaoling, LIN Liangsheng, LAN Yubin. Citrus Huanglongbing detection based on modulation chlorophyll fluorescence measurement[J]. Journal of South China Agricultural University, 2016, 37(2): 113-116. DOI: 10.7671/j.issn.1001-411X.2016.02.018
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To diagnose citrus Huanglongbing(HLB) timely to prevent citrus production from the spread of the disease.
A detection method of citrus HLB based on modulation chlorophyll fluorescence measurements was investigated. Fluorescence parameters were extracted from MINI-PAM, and analyzed by probability neural network (PNN) model and classification to distinguish among healthy citrus, HLB-infected citrus and etiolated citrus due to non-HLB problems.
The average detection accuracy for different classes of citrus symptoms was above 76.93%, and that for some classes even reached 100%.
It is feasible to use the modulation chlorophyll fluorescence measurement combined with PNN model to detect citrus HLB.
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