Multispectral image analysis for the detection of diseases in coffee production

dc.creatorSilva, Jesús
dc.creatorVarela Izquierdo, Noel
dc.creatorPineda, Omar
dc.date2020-11-12T21:11:07Z
dc.date2020-11-12T21:11:07Z
dc.date2020
dc.date2021-06-19
dc.date.accessioned2023-10-03T19:52:38Z
dc.date.available2023-10-03T19:52:38Z
dc.identifier2194-5357
dc.identifierhttps://hdl.handle.net/11323/7293
dc.identifierCorporación Universidad de la Costa
dc.identifierREDICUC - Repositorio CUC
dc.identifierhttps://repositorio.cuc.edu.co/
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9172895
dc.descriptionCoffee is produced in Latin America, Africa and Asia, and is one of the most traded agricultural products in international markets. The coffee agribusiness has been diversified all over the world and constitutes an important source of employment, income and foreign exchange in many producing countries. In recent years, its global supply has been affected by adverse weather factors and pests such as rust, which has been reflected in a highly volatile international market for this product [1]. This paper shows a method for the detection of coffee crops and the presence of pests and diseases in the production of these crops, using multispectral images from the Landsat 8 satellite.
dc.formatapplication/pdf
dc.formatapplication/pdf
dc.languageeng
dc.publisherCorporación Universidad de la Costa
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dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.rightshttp://purl.org/coar/access_right/c_14cb
dc.sourceAdvances in Intelligent Systems and Computing
dc.sourcehttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85089716858&doi=10.1007%2f978-3-030-53036-5_21&partnerID=40&md5=a061f6acfd1ce0ab466fc6216508eea7
dc.subjectCoffee production
dc.subjectDetection of diseases
dc.subjectMultispectral image analysis
dc.titleMultispectral image analysis for the detection of diseases in coffee production
dc.typePre-Publicación
dc.typehttp://purl.org/coar/resource_type/c_816b
dc.typeText
dc.typeinfo:eu-repo/semantics/preprint
dc.typeinfo:eu-repo/semantics/draft
dc.typehttp://purl.org/redcol/resource_type/ARTOTR
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.typehttp://purl.org/coar/version/c_ab4af688f83e57aa


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