Mostrando 4 resultados de: 4
Filtros aplicados
Publisher
Health Care Management Science(1)
Heliyon(1)
Journal of Agricultural Science(1)
Proceedings - 2022 48th Latin American Computing Conference, CLEI 2022(1)
Área temáticas
Agricultura y tecnologías afines(2)
Enfermedades(2)
Funcionamiento de bibliotecas y archivos(2)
Ganadería(2)
Medicina y salud(2)
Área de conocimiento
Infección(2)
Análisis de datos(1)
Ciencia agraria(1)
Ciencias Agrícolas(1)
Ciencias de la computación(1)
Objetivos de Desarrollo Sostenible
ODS 9: Industria, innovación e infraestructura(3)
ODS 17: Alianzas para lograr los objetivos(2)
ODS 3: Salud y bienestar(2)
ODS 15: Vida de ecosistemas terrestres(1)
ODS 2: Hambre cero(1)
Origen
scopus(4)
A Classification Model of Cotton Boll-Weevil Population
Conference ObjectAbstract: Integrated pest management (IPM) seeks to minimize the environmental impact of pesticide applicationPalabras claves:cotton crop, Data Analysis, insect pest management, Machine learning, Pest control, Weather, XGBoostAutores:Caro M., Hoyos W., José Lisandro Aguilar Castro, Toro M., Toscano-Miranda R., Trebilcok A.Fuentes:scopusA clinical decision-support system for dengue based on fuzzy cognitive maps
ArticleAbstract: Dengue is a viral infection widely distributed in tropical and subtropical regions of the world. DenPalabras claves:Artificial Intelligence, Clinical decision-support system, DENGUE, diagnosis, Fuzzy Cognitive Maps, Machine learningAutores:Hoyos W., José Lisandro Aguilar Castro, Toro M.Fuentes:scopusAn autonomous cycle of data analysis tasks for the clinical management of dengue
ArticleAbstract: Dengue is the most widespread vector-borne disease worldwide. Timely diagnosis and treatment of dengPalabras claves:Autonomic computing, Clinical decision-support system, computational intelligence, Data Analysis, DENGUEAutores:Hoyos W., José Lisandro Aguilar Castro, Toro M.Fuentes:scopusArtificial-intelligence and sensing techniques for the management of insect pests and diseases in cotton: A systematic literature review
ReviewAbstract: Integrated pest management (IPM) seeks to minimize the environmental impact of pesticide applicationPalabras claves:internet of things, Key words Image processing, Machine learning, pest detection, PRECISION AGRICULTURE, remote sensing, Smart agricultureAutores:Caro M., José Lisandro Aguilar Castro, Marulanda A., Toro M., Toscano-Miranda R., Trebilcok A.Fuentes:scopus