Detection of citrus canker using hyperspectral reflectance imaging with spectral information divergence

By Jianwei Qin, Thomas F. Burks, M. Ritenour, W. Gordon Bonn. 2009

268 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Ecology, Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/76848f2b80c3c426be7a70cf80d93c804af02e4a

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In Analytical Chemistry

In Ecology

In Industrial and Manufacturing Engineering

Citations in the corpus

Hyperspectral and multispectral imaging for evaluating food safety and quality (2013, methodology): “The images were collected from reflectance measurement of grapefruits in the wavelength range of 450–930 nm (92 bands) for detecting a particular disease (i.e., canker) on the fruit peel (Qin et al., 2009).”
‘Extended spectral angle mapping (ESAM)’ for citrus greening disease detection using airborne hyperspectral imaging (2014, methodology): “Qin et al. (2009) developed a SID based algorithms for HS image processing and classification to differentiate citrus canker lesions from normal and other diseased peel conditions.”
An In-field Automatic Wheat Disease Diagnosis System (2017, background): “In this context, various spectroscopic and imaging techniques have been studied for identifying crop disease symptoms (Bravo et al., 2004; Moshou et al., 2005; Chaerle et al., 2007; Belasque Jr et al., 2008; Qin et al., 2009).”
Recent Advances and Applications of Hyperspectral Imaging for Fruit and Vegetable Quality Assessment (2012, methodology): “…et al. (2008b) Citrus fruits Decay 460–1,020 Cheng et al. (2004) Cucumbers Chilling injury 447–951 Liu et al. (2006) Cucumbers Chilling injury 447–951 Qin et al. (2009) Grapefruits Ruby Red Canker lesions, greasy spot, insect damage, melanose, scab and wind scarring 450–930 Wang et al.…”
Vis/NIR hyperspectral imaging for detection of hidden bruises on kiwifruits (2018, background): “…estimation of quality and safety of poultry (Liu et al. 2003; Park et al. 2006, 2007), fruits (Lu et al. 1999; Lu 2003; Mehl et al. 2004; Xing & Baerdemaeker 2005; Xing et al. 2005, 2007; Noh & Lu 2007; Qin et al. 2009), vegetables (Liu et al. 2005; Ariana et al. 2006), and milk (Qin & Lu 2007).”
Hyperspectral Imaging-Based Classification and Wavebands Selection for Internal Defect Detection of Pickling Cucumbers (2013, background): “Various applications of hyperspectral imaging have been reported on the detection of fruit bruise and defect (Lu 2003), citrus diseases (Lorente et al. 2013; Qin et al. 2009), microbiological and freeze damages of mushroom (Gowen et al.”
Application of Hyperspectral Imaging in Food Safety Inspection and Control: A Review (2012, background): “A few other papers found on inspection of specific defects on other produces include sour skin in onions (Wang et al., 2009), and canker and rottenness in citrus (Gómez-Sanchis et al., 2012; Qin et al., 2009).”
Recent Developments in Hyperspectral Imaging for Assessment of Food Quality and Safety (2014, methodology): “EMCCD Citrus 450–930 Qualitative TH Spectral information divergence (SID) mapping [61]”
Plant Disease Severity Estimated Visually, by Digital Photography and Image Analysis, and by Hyperspectral Imaging (2010, background): “Qin et al. (2009) improved their ability to differentiate canker infected grapefruit from several other types of disease symptoms by using an image classification technique called spectral information divergence (SID).”
Detection of blueberry internal bruising over time using NIR hyperspectral reflectance imaging with optimum wavelengths (2017, background): “Multispectral vision systems have been developed to sort apples according to the presence of defects (Kleynen et al., 2005) and bruise (Huang et al., 2015), and to detect citrus canker (Qin et al., 2012) based on the selected wavelengths from HSI systems (Kleynen et al., 2003; Qin et al., 2009).”