Original paper: Early detection and classification of plant diseases with Support Vector Machines based on hyperspectral reflectance
Citations
1,135 citations
Cites methods or result from "Original paper: Early detection and..."
...Finally, comparing our results with other methods of detecting diseases from leaves images, it can be said that ourmethod provides better results [23, 24, 26, 27]....
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...This technique was implemented for sugar beet diseases and presented in [24], where, depending on the type and stage of disease, the classification accuracy was between 65% and 90%....
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680 citations
633 citations
Cites background or methods from "Original paper: Early detection and..."
...Diseased regions on the tomato canopy were identified using the preprocessed tomato images by a SOM model [20]....
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...Identification and classification SVM Hyperspectral reflectance Sugar beet Cercospora leaf spot, sugar beet rust, and powdery mildew Disease [38]...
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...), early identification of three diseases, Cercospora leaf spot, leaf rust, and powdery mildew, was performed using SVM with a radial basis function as kernel [38]....
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553 citations
Cites background from "Original paper: Early detection and..."
...…and nonparametric, supervised and unsupervised, for producing results which are classified depending on disease presence/ absence and possibly severity levels (Moshou et al. 2004, 2012; Rumpf et al. 2010; Hillnhütter et al. 2011; Mewes et al. 2011; Mirik et al. 2011; Mahlein et al. 2012a)....
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...Of particular interest are methods for early stage disease detection (Malthus and Madeira 1993; Delalieux et al. 2007; Rumpf et al. 2010), although their actual application to crop management is inconsistent across crops....
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471 citations
References
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