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...

Full description

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