DEEP LEARNING-DRIVEN PREDICTIVE CONTROL METHOD FOR OPTIMIZING COMBINE HARVESTER OPERATION SPEED

ABSTRACT To enhance the automation and efficiency of combine harvesters, this paper proposes a predictive control method based on Long Short-Term Memory (LSTM) neural networks. The method integrates multi-sensor data fusion using an Extended Kalman Filter (EKF) to improve speed measurement accuracy....

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Bibliographic Details
Main Authors: Jin Chen, Jiaqi Ji, Kuizhou Ji, Yuhang Chen
Format: Article
Language:English
Published: Sociedade Brasileira de Engenharia Agrícola 2025-06-01
Series:Engenharia Agrícola
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162025000100315&lng=en&tlng=en
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