Original paper: Diagnosis of bacterial spot of tomato using spectral signatures

By C. D. Jones, J. B. Jones, Won Suk Lee. 2010

108 citations recorded by the source corpus.

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Using hyperspectral imaging to discriminate yellow leaf curl disease in tomato leaves (2018, background): “The ability of reflectance spectroscopy in ultraviolet, visible, and near-infrared ranges to determine the disease severity of tomato leaves infected with Xanthomonas perforans was previously evaluated (Jones et al. 2010).”
Spectral analysis of winter wheat leaves for detection and differentiation of diseases and insects (2014, methodology): “This method is particularly suitable for processing independent variables that present a strong correlation and redundant information among them (Jones et al., 2010; Song et al., 2011) In this study, the potential of hyperspectral information in differentiating two diseases and one insect of winter…”
A review of neural networks in plant disease detection using hyperspectral data (2018, background): “It is worth mentioning that AVIRIS hyperspectral images are useful in characterizing and estimating various fungal and bacterial diseases [135,136].”