Smart agriculture framework from imagery based on representation learning
Nowadays, with the increasing need for food due to the high population, there are needed new alternatives in agriculture that avoid yield losses, while augmenting food security. Smart agriculture arises as a solution that gathers technology and agronomics, including aerial imagery, digital surface m...
- Autores:
-
García Murillo, Daniel Guillermo
- Tipo de recurso:
- Fecha de publicación:
- 2019
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/76881
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/76881
http://bdigital.unal.edu.co/73815/
- Palabra clave:
- Kernel Representation
Centered Kernel Alignment
Smart Agriculture
Digital Surface Model
Mathematical Morphology
Feature Extraction
Feature Selection
Representaciones Kernel
Alineamiento de Kernels Centralizados
Agricultura Inteligente
Modelo Digital de Supercie
Morfología Matemática
Extracción de Características
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional