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...

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Detalles Bibliográficos
Autores principales: de Lima, Jeovano de Jesus Alves, Maldaner, Leonardo Felipe, Molin, José Paulo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271662/
https://www.ncbi.nlm.nih.gov/pubmed/34282796
http://dx.doi.org/10.3390/s21134530

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