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International Geoscience and Remote Sensing Symposium (IGARSS)(2)
2017 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2017 - Proceedings(1)
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Proceedings of SPIE - The International Society for Optical Engineering(1)
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Banana disease detection by close range hyperspectral image
OtherAbstract: Bananas are one of the most appealing fruits in the world. It is reported according to the United NaPalabras claves:Autores:Daniel Ochoa Donoso orcidFuentes:googleBanana disease detection by fusion of close range hyperspectral image and high-resolution RGB image
Conference ObjectAbstract: Early detection of banana disease can limit the spread of disease, as well as reduce the treatment cPalabras claves:banana diseases, Close range hyperspectral image, data fusion, MORPHOLOGYAutores:Daniel Ochoa Donoso orcid, Liao W., Philips W., Rugel G.M.V., Zhao Y.Fuentes:googlescopusEarly detection of black Sigatoka in banana leaves using hyperspectral images
ArticleAbstract: Premise: Black Sigatoka is one of the most severe banana (Musa spp.) diseases worldwide, but no methPalabras claves:banana, black sigatoka, HS biplot, hyperspectral imaging, penalized logistic regression (PLS–PLR), Plant diseaseAutores:Daniel Ochoa Donoso orcid, Jorge Ugarte Fajardo, Juan Manuel Cevallos-Cevallos, María Gabriela Maridueña-Zavala, Oswaldo Bayona Andrade, Ronald Criollo, Vicente-Villardon J.L.Fuentes:googlescopusEffective Methods Based on Distinct Learning Principles for the Analysis of Hyperspectral Images to Detect Black Sigatoka Disease
ArticleAbstract: Current chemical methods used to control plant diseases cause a negative impact on the environment aPalabras claves:black sigatoka, deep learning, hyperspectral imaging, Machine learning, Plant diseaseAutores:Daniel Ochoa Donoso orcid, Jorge Ugarte Fajardo, Juan Manuel Cevallos-Cevallos, María Gabriela Maridueña-ZavalaFuentes:scopusMorphological Analysis for Banana Disease Detection in Close Range Hyperspectral Remote Sensing Images
Conference ObjectAbstract: Early detection of banana disease can limit the spread of disease, as well as reduce the treatment cPalabras claves:banana diseases, Close range remote sensing, hyperspectral image, MORPHOLOGYAutores:Daniel Ochoa Donoso orcid, Gao L., Liao W., Philips W., Zhang B.Fuentes:scopusHyperspectral imaging system for disease scanning on banana plants
Conference ObjectAbstract: Black Sigatoka (BS) is a banana plant disease caused by the fungus Mycosphaerella fijiensis. BS sympPalabras claves:black sigatoka, hyperspectral imagingAutores:Daniel Ochoa Donoso orcid, Dennis G. Romero, Germán Vargas López, Juan Manuel Cevallos-Cevallos, Oswaldo Bayona, Rodrigo Castro, Rodrigo Fabricio Castro Reyes, Ronald CriolloFuentes:googlescopusOn the influence of spectral calibration in hyperspectral image classification of leaves
Conference ObjectAbstract: Automatic detection of physiological changes in leaves using close range hyperspectral data is becomPalabras claves:hyperspectral imaging, Spectral calibration, Spectral vegetation indexesAutores:Daniel Ochoa Donoso orcid, Rodrigo Castro, Rodrigo Fabricio Castro Reyes, Ronald CriolloFuentes:googlescopus