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dc.contributor.authorKouakou, Anicet K.
dc.contributor.authorSoro, Adama P.
dc.contributor.authorTaky, Alvarez K.
dc.contributor.authorZoueu, Jérémie T.
dc.date.accessioned2018-07-12T11:51:27Z
dc.date.available2018-07-12T11:51:27Z
dc.date.issued2017-04
dc.identifier.citationSpectral Analysis Reviews, 2017, 5, 11-24en_US
dc.identifier.issn2331-2106
dc.identifier.urihttps://doi.org/10.4236/sar.2017.52002
dc.identifier.urihttp://hdl.handle.net/123456789/1858
dc.description.abstractEvaluation of the impact of herbicides on maize was done through multispectral and multi-modal imaging and multi-spectral fluorescence imaging combined with statistical methods. Spectra containing 13 wavelengths ranging from 375 nm to 940 nm were derived from multi-spectral images in transmission, reflection and scattering mode and fluorescence images obtained using high-pass filters (F450 nm, F500 nm, F550 nm, F600 nm, F650 nm) on control maize samples and maize samples treated with Herbextra herbicide were used. The appearance of the spectra allowed us to characterize the effect of the herbicide on the maize pigment concentration. The fluorescence images allowed us to track the fate of absorbed energy and through PLS-DA and SVM-DA to discriminate the two leaf categories with very low error rates for the test, i.e. 4.9% and 2% respectively. The results of this technique can be used in the context of precision agriculture.en_US
dc.language.isoenen_US
dc.publisherScientific Researchen_US
dc.subjectMaizeen_US
dc.subjectHerbextraen_US
dc.subjectMulti-Spectral Imagingen_US
dc.subjectMultimodal Imagingen_US
dc.subjectFluorescenceen_US
dc.subjectPLS-DAen_US
dc.subjectSVM-DAen_US
dc.titleMulti-Spectral and Fluorescence Imaging in Prevention of Overdose of Herbicides: The Case of Maizeen_US
dc.typeArticleen_US


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