Spectroscopy and Spectral Analysis, Volume. 42, Issue 4, 1028(2022)
Early Detection of Plasmopara Viticola Infection in Grapevine Leaves Using Chlorophyll Fluorescence Imaging
Fig. 2. Healthy leaves and inoculated leaves with disease spots at 6 DPI
(a): Heathy leaf; (b): Leaf with scattered lesions; (c): Leaf covered with lesions
Fig. 5. Flow chart of feature selection algorithm (SFFS) and model construction
Fig. 6. PCR values of healthy and inoculated samples measured 6 consecutive days after inoculation
Fig. 7. Representative kinetic chlorophyll fluorescence curves of healthy and inoculated leaves
(a): 1 DPI; (b): 2 DPI; (c): 6 DPI
Fig. 8. RGB and chlorophyll fluorescence parameter images of leaves inoculated with Plasmopara viticola
Fig. 9. Means and standard deviations of chlorophyll fluorescence parameters of grape leaves healthy and inoculated with downy mildew for 6 consecutive days (statistically significant differences are indicated)
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. Early Detection of Plasmopara Viticola Infection in Grapevine Leaves Using Chlorophyll Fluorescence Imaging[J]. Spectroscopy and Spectral Analysis, 2022, 42(4): 1028
Category: Research Articles
Received: Jul. 15, 2021
Accepted: --
Published Online: Jul. 25, 2023
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