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. 2026 Jan 20;22:3. doi: 10.1186/s13007-025-01483-5

Correction: Research on the classification model of rubber leaf powdery mildew disease severity based on hyperspectral multi-dimensional feature fusion

Donghua Wang 1,2, Huichun Ye 2,3,✉, Yanan You 1,2, Chaojia Nie 2, Jingjing Wang 4, Bingsun Wu 5, Fengzheng Cai 4, Lixia Shen 1, Jiajian Deng 6
PMCID: PMC12817413  PMID: 41555329

Correction: Plant Methods (2025) 21:154 10.1186/s13007-025-01470-w

In Table 2 of this article [1], the data in the computing formula extended towards references. The correct table 2 is given below.

Incorrect Table 2:

graphic file with name 13007_2025_1483_Taba_HTML.jpg

Correct Table 2:

Table 2.

Vegetation indices calculation formula

Computing formula References
Anthocyanin reflectance index (ARI) 1/R550 − 1/R700 [22]
Anthocyanin (Ant) (1/R550 − 1/R700) × R780 [22]
Red-edge chlorophyll index (CIred-edge) (R750 − R705) / R705 [23]
Transformed chlorophyll absorption and reflectance index (TCARI) 3 [(R700 − R670) − 0.2 (R700 − R550) (R700 / R670)] [24]
Modified chlorophyll absorption ratio index (MCARI) [(R700 − R670) − 0.2 (R700 − R550)] (R700 / R670) [24]
Pigments specific simple ratio (PSSR) R800 / R635 [25]
Photochemical/physiological reflectance index (PRI) (R531 – R570) / (R531 + R570) [26]
Plant senescence reflectance index (PSRI) (R680 – R500) / R750 [27]
Ratio analysis of reflectance spectra (RARS) R675 / (R700 × R650) [28]
Green chlorophyll index (CIgreen) R790 / R550 – 1 [21]
Red-edge normalized difference vegetation index (ReNDVI) (R750 – R705) / (R750 + R705) [29]
Simple ratio (SR) R900 / R680 [30]
Red-edge vegetation stress index (RVSI) [(R714 + R752) / 2] – R733 [27]
Fluorescence ratio index (FRI) R740 / R800 [31]
Modified red-edge simple ratio index (MRESR) (R750 – R445) / (R705 – R445) [32]
Water stress and canopy temperature (WSCT) (R970 – R850) / (R970 + R850) [33]

In this article [1] Fig. 3 appeared incorrectly and have now been corrected in the original publication. For completeness and transparency, the correct and incorrect versions are displayed below.

Incorrect Fig. 3.

Fig. 3.

Fig. 3

Original spectral reflectance and MT spectral features of rubber tree leaves across powdery mildew severity. (a) R, (b) R’, (c) R’’, (d) 1/R, (e) (1/R)’, (f) (1/R)’’, (g) logR, (h) (logR)’, (h) (logR)’’

Correct Fig. 3.

Fig. 3.

Fig. 3

Original spectral reflectance and MT spectral features of rubber tree leaves across powdery mildew severity. a R is the primitive spectral reflectance, b R’ is the first derivative of the spectral reflectance, c R’’ is the second derivative of the spectral reflectance, d 1/R is the reciprocal of the spectral reflectance, e (1/R)’ is the first derivative of the reciprocal of the spectral reflectance, f (1/R)’’ is the second derivative of the reciprocal of the spectral reflectance, g logR is the logarithm of the spectral reflectance, h (logR)’ is the first derivative of the logarithm of the spectral reflectance, i (logR)’’ is the second derivative of the logarithm of the spectral reflectance

The original article has been corrected.

Footnotes

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Reference

  • 1.Wang D, Ye H, You Y, et al. Research on the classification model of rubber leaf powdery mildew disease severity based on hyperspectral multi-dimensional feature fusion Plant Methods. 2025;21:154. 10.1186/s13007-025-01470-w. [DOI] [PMC free article] [PubMed] [Google Scholar]

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