Sensor Fusion with NARX Neural Network to Predict the Mass Flow in a Sugarcane Harvester

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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Bibliographic Details
Main Authors: Jeovano de Jesus Alves de Lima, Leonardo Felipe Maldaner, José Paulo Molin
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Sensors
Subjects:
precision agriculture
artificial intelligence
machine automation
yield monitor
self-calibration
data fusion
Online Access:https://www.mdpi.com/1424-8220/21/13/4530

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