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scopus(15)
Computer vision-based method for automatic detection of crop rows in potato fields
Conference ObjectAbstract: This work presents an adaptation and validation of a method for automatic crop row detection from imPalabras claves:Autonomous guidance, Computer Vision, Crop row detection, image segmentationAutores:Diego Hernán Peluffo-Ordóñez, Garrido Fernando, Granda P., Iván García-Santillán, Marco R. Pusdá-Chulde, Pedro Granda, Víctor Caranqui-SánchezFuentes:googlescopusAutomatic detection of curved and straight crop rows from images in maize fields
ArticleAbstract: A new method for detecting curved and straight crop rows in images captured in maize fields during tPalabras claves:Automatic guidance, Crop row detection, Hough transform, image segmentation, machine visionAutores:Guerrero J.M., Iván García-Santillán, Montalvo M., Pajares G.Fuentes:googlescopusDetection of Crop Lines and Weeds in Corn Fields Based on Images Obtained from a Drone
Conference ObjectAbstract: Precision agriculture (PA) automates agriculture by collecting and analyzing agricultural data for dPalabras claves:Crop row detection, image analysis, UAV, Weed detectionAutores:Adrian Robayo Ordonez, De Giusti A., Iván García-Santillán, Marco R. Pusdá-ChuldeFuentes:googlescopusDetection of desertion patterns in university students using data mining techniques: A case study
Conference ObjectAbstract: Student desertion is a phenomenon that affects higher education and academic quality standards. SevePalabras claves:Data Mining, KDD, Pattern discovery, Student desertion, WEKAAutores:Dayana Vila, Granda P., Iván García-Santillán, MacArthur Ortega-Bustamante, Miguel Posso-Yépez, Pedro Granda, Saúl CisnerosFuentes:googlescopusCurved and straight crop row detection by accumulation of green pixels from images in maize fields
ArticleAbstract: This study proposes a new method for detecting curved and straight crop rows in images captured in mPalabras claves:Automatic guidance, Curved/straight crop row detection, Hough transform, image segmentation, Least squares, machine visionAutores:Guerrero J.M., Iván García-Santillán, Montalvo M., Pajares G.Fuentes:googlescopusArtificial Neural Networks for Bottled Water Demand Forecasting: A Small Business Case Study
Conference ObjectAbstract: This paper shows a neural networks-based demand forecasting model designed for a small manufacturerPalabras claves:artificial neural networks, Long-term demand forecasting, Small businessAutores:Diego Hernán Peluffo-Ordóñez, Erick P. Herrera-Granda, Israel D. Herrera-Granda, Iván García-Santillán, Jorge A. Caraguay-Procel, Joselyn A. Chicaiza-Ipiales, Leandro L. Lorente-LeyvaFuentes:googlescopusEvaluation of usability in raster data management module integrated to a geoportal
ArticleAbstract: The raster data are very important in Geographic Information Systems (GIS) because they allow to shoPalabras claves:GQM, ISO 25010, Raster Data, SUS questionnaire, UsabilityAutores:Fausto Lucano-Chávez, Granda P., Iván García-Santillán, Jorge Vásquez, Pablo Landeta-LópezFuentes:googlescopusExpert System for Diagnosis of Motor Failures in Electronic Injection Vehicles
Conference ObjectAbstract: Today, cars are an indispensable element in the society, as well as the vehicle diagnosis of minor aPalabras claves:Artificial Intelligence, diagnosis of mechanical failures, Expert SystemAutores:Alexis Tarupi, Basantes Andrade Andrea, Granda P., Iván García-Santillán, Lucía Sandoval-PillajoFuentes:googlescopusEdition, Publication and Visualization of Geoservices Using Open-Source Tools
Conference ObjectAbstract: Currently, there is a need to share and reuse geographic information with the academic and businessPalabras claves:Atlas styler, Geoportal, Geoserver, Geoservices, GIS, MapserverAutores:Iván García-Santillán, Jorge Vásquez, Pablo Landeta-López, Xavier Mauricio Rea-PeñafielFuentes:googlescopusOn-line crop/weed discrimination through the Mahalanobis distance from images in maize fields
ArticleAbstract: This study proposes a new automatic method for crop/weed discrimination in images captured in maizePalabras claves:Crop/weed discrimination, image segmentation, machine vision, Mahalanobis distanceAutores:Iván García-Santillán, Pajares G.Fuentes:googlescopus