A comparative study of deep reinforcement learning for crop production management

A comparative study of deep reinforcement learning for crop production management

Crop production management is essential for optimizing yield and minimizing a field's environmental impact to crop fields, yet it remains challenging due to the complex and stochastic processes involved. Recently, researchers have turned to machine learning to address these complexities. Specif...

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Bibliographic Details
Main Authors: Joseph Balderas, Dong Chen, Yanbo Huang, Li Wang, Ren-Cang Li
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Smart Agricultural Technology
Subjects:
Crop production management
Reinforcement learning
Deep learning
Machine learning
Proximal policy optimization
Deep Q-networks
Online Access:http://www.sciencedirect.com/science/article/pii/S2772375525000863

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http://www.sciencedirect.com/science/article/pii/S2772375525000863

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