Comparison of machine learning path loss model for wireless sensor networks in cassava crops

Wireless sensor networks play an essential role in modern agriculture, as they facilitate the monitoring of different variables that have an impact on crop yields. The successful operation of WSNs is highly dependent on their accurate deployment in the field, which requires proper modeling of radio...

Full description

Autores:

Barrios-Ulloa, Alexis
De-La-Hoz-Franco, Emiro
Cama-Pinto, Alejandro

Tipo de recurso:

Part of book

Fecha de publicación:

2023

Institución:

Corporación Universidad de la Costa

Repositorio:

REDICUC - Repositorio CUC

Idioma:

eng

OAI Identifier:

oai:repositorio.cuc.edu.co:11323/13112

Acceso en línea:

https://hdl.handle.net/11323/13112
https://repositorio.cuc.edu.co/

Palabra clave:

Decision tree
K-Nearest-Neighbors
Machine learning
Path loss model
Radio wave propagation
Random Forest (RF)

Rights

embargoedAccess

License

Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)