Spectral Signature of Brown Rust and Orange Rust in Sugarcane

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dc.contributor.authorLuís Soca Muñoz, Jorge
dc.contributor.authorRodríguez Machado, Eniel
dc.contributor.authorAday Díaz, Osmany de la Caridad
dc.contributor.authorHernández Santana, Luis
dc.contributor.authorOrozco Morales, Rubén
dc.contributor.departmentUniversidad Central "Marta Abreu" de Las Villas. Dpto de Automáticaen_US
dc.contributor.otherEstación Territorial de Investigaciones de la Caña de Azúcar (ETICA Centro Villa Clara), Instituto de Investigaciones de la Caña de Azúcaren_US
dc.coverage.spatialAntioquia, Colombiaen_US
dc.date.accessioned2022-02-17T16:31:42Z
dc.date.available2022-02-17T16:31:42Z
dc.date.issued2020-07
dc.description.abstractPrecision agriculture, making use of the spatial and temporal variability of cultivable land, allows farmers to refine fertilization, control field irrigation, estimate planting productivity, and detect pests and disease in crops. To that end, this paper identifies the spectral reflectance signature of brown rust (Puccinia melanocephala) and orange rust (Puccinia kuehnii), which contaminate sugar cane leaves (Saccharum spp.). By means of spectrometry, the mean values and standard deviations of the spectral reflectance signature are obtained for five levels of contamination of the leaves in each type of rust, observing the greatest differences between healthy and diseased leaves in the red (R) and near infrared (NIR) bands. With the results obtained, a multispectral camera was used to obtain images of the leaves and calculate the Normalized Difference Vegetation Index (NDVI). The results identified the presence of both plagues by differentiating healthy from contaminated leaves through the index value with an average difference of 11.9% for brown rust and 9.9% for orange rust.en_US
dc.identifier.doi10.17533/udea.redin.20191042en_US
dc.identifier.issn0120-6230en_US
dc.identifier.urihttps://dspace.uclv.edu.cu/handle/123456789/13442
dc.language.isoen_USen_US
dc.relation.journalRevista Facultad de Ingeniería, Universidad de Antioquiaen_US
dc.source.endpage20en_US
dc.source.initialpage9en_US
dc.source.issue96en_US
dc.subjectRemote sensing; sugar cane; pests; vegetation; agricultureen_US
dc.titleSpectral Signature of Brown Rust and Orange Rust in Sugarcaneen_US
dc.typeArticleen_US
dc.type.article1en_US

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Artículos - Centro de Estudios de Mecánica Computacional Aplicada a Ingeniería