Visible-near infrared spectroscopy for detection of Huanglongbing in citrus orchards

By S. Sankaran, A. Mishra, J. Maja, Reza Ehsani. 2011

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Early detection of basal stem rot disease (Ganoderma) in oil palms based on hyperspectral reflectance data using pattern recognition algorithms (2014, methodology): “Also, Sankaran et al. (2011), Shafri et al. (2011), and Zhang et al. (2011) confirmed the practicality of using derivatives in differentiating between healthy and diseased plants.”
Using Deep Learning for Image-Based Plant Disease Detection (2016, methodology): “…for detection of citrus huanglongbing (Wetterich et al., 2012) the detection of citrus huanglongbing using near infrared spectral patterns (Sankaran et al., 2011) and aircraft-based sensors (Garcia-Ruiz et al., 2013) the detection of tomato yellow leaf curl virus by using a set of classic…”
Advanced spectroscopic techniques for plant disease diagnostics. A review (2019, methodology): “Sankaran and co-workers used VISNIR RM spectroscopy for detection of Huanglongbing (HLB), or citrus greening, on citrus trees [28].”
Current and future applications of statistical machine learning algorithms for agricultural machine vision systems (2019, methodology): “…from each tree resulted in poor accuracy and there, used five sets of measurements from each tree to achieve an accuracy of 96% with kNN. Sankaran et al. (2011) as opposed to Mishra et al. (2011) extracted the mean reflectance spectra by extending the effective wavelength range up to…”