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scopus(8)
Dynamic weed control using selective laser application with object tracking and target scheduling
ArticleAbstract: Selective laser application for weed control is emerging as one of the most sustainable practices foPalabras claves:Hyperweed selection, Laser, Machine Learning, Weed detectionAutores:Cheein F.A.A., Juan Ignacio Vargas Fernández, Sam Wane, Tito Arevalo-RamirezFuentes:scopusConditional Random Field Features and Structure Assessment for Digital Terrain Modeling
ArticleAbstract: The conditional random field is a suitable framework for contextual classification of two-dimensionaPalabras claves:Conditional random field, graph structure, ground filtering, Machine LearningAutores:Cheein F.A.A., Tito Arevalo-RamirezFuentes:scopusArtificial intelligence for the early detection of colorectal cancer: A comprehensive review of its advantages and misconceptions
ReviewAbstract: Colorectal cancer (CRC) was the second-ranked worldwide type of cancer during 2020 due to the crudePalabras claves:Artificial intelligence, Colorectal cancer, Colorectal polyps, Deep learning, Machine Learning, Medical imagesAutores:Bustos J.T., Cheein C.A., Cheein F.A.A., Javier Torres Bustos, Michelle Viscaíno, Muñoz P., Pablo MuñozFuentes:scopusMachine-learning based approaches for self-tuning trajectory tracking controllers under terrain changes in repetitive tasks
ArticleAbstract: The use of resources in autonomous vehicles when manoeuvring along changing terrain is an issue yetPalabras claves:Energy consumption, Machine Learning, Motion controller, Robot self-tuning, Wheel-Terrain InteractionAutores:Álvaro Javier Prado, Cheein F.A.A., Michałek M.M.Fuentes:scopusMoisture content estimation of Pinus radiata and Eucalyptus globulus from reconstructed leaf reflectance in the SWIR region
ArticleAbstract: Valparaíso, a central-southern region in Chile, has one of the highest rates of wildfire occurrencePalabras claves:Equivalent water thickness, Fuel moisture content, Machine Learning, spectral indices, SWIR reconstructionAutores:Cheein F.A.A., Fuentes A., Juan Villacrés, Reszka P., Tito Arevalo-RamirezFuentes:scopusSingle bands leaf reflectance prediction based on fuel moisture content for forestry applications
ArticleAbstract: Vegetation indices can be used to perform quantitative and qualitative assessment of vegetation covePalabras claves:Leaf water index, Machine Learning, Remote Sensing, Wildfire, Wildland fuelsAutores:Cabello P.S.R., Castillo A.H.F., Cheein F.A.A., Tito Arevalo-RamirezFuentes:scopusPotato plant phenotyping and characterisation utilising machine learning techniques: A state-of-the-art review and current trends
ReviewAbstract: Globally, potatoes are the fourth most produced food crop, and in the United Kingdom alone, they genPalabras claves:agriculture, Artificial intelligence, Deep learning, Machine Learning, Phenotype, potato, Remote SensingAutores:Cheein F.A.A., Ciarán Miceal Johnson, Sebastián EstradaFuentes:scopusMachine learning assisted remote forestry health assessment: a comprehensive state of the art review
ReviewAbstract: Forests are suffering water stress due to climate change; in some parts of the globe, forests are bePalabras claves:forestry health assessment, Machine Learning, Remote Sensing, Spectral information, Vision systemAutores:Cheein F.A.A., Fuentes A., Reszka P., Sebastián EstradaFuentes:scopus