Cargando…
Sensor Fusion with NARX Neural Network to Predict the Mass Flow in a Sugarcane Harvester
Measuring the mass flow of sugarcane in real-time is essential for harvester automation and crop monitoring. Data integration from multiple sensors should be an alternative to receive more reliable, accurate, and valuable predictions than data delivered by a single sensor. In this sense, the objecti...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271662/ https://www.ncbi.nlm.nih.gov/pubmed/34282796 http://dx.doi.org/10.3390/s21134530 |