Approach for the classification of polliniferous vegetation using multispectral imaging and neural networks
Beekeeping has suffered a serious deterioration in the regions of the world. The possibility of nectar-polliniferous resources has decreased and, therefore, the feeding of bees, with the consequent decrease in production. There is, therefore, a need to improve marketing and diversification systems a...
- Autores:
-
Silva, Jesus
Varela, Noel
Díaz-Martinez, Jorge L.
Jiménez-Cabas, Javier
Pineda Lezama, Omar Bonerge
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2020
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/6930
- Acceso en línea:
- https://hdl.handle.net/11323/6930
https://doi.org/10.1007/978-3-030-51859-2_24
https://repositorio.cuc.edu.co/
- Palabra clave:
- Classification of polliniferous vegetation
Multispectral imaging
Neural networks
- Rights
- openAccess
- License
- CC0 1.0 Universal