Research on Path Planning of Agricultural UAV Based on Improved Deep Reinforcement Learning

Research on Path Planning of Agricultural UAV Based on Improved Deep Reinforcement Learning

Traditional manual or semi-mechanized pesticide spraying methods often suffer from issues such as redundant coverage and cumbersome operational steps, which fail to meet current pest and disease control requirements. Therefore, there is an urgent need to develop an efficient pest control technology...

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Bibliographic Details
Main Authors:	Haitao Fu, Zheng Li, Weijian Zhang, Yuxuan Feng, Li Zhu, Xu Fang, Jian Li
Format:	Article
Language:	English
Published:	MDPI AG 2024-11-01
Series:	Agronomy
Subjects:	precision agriculture deep Q-learning Bi-directional Long Short-Term Memory pest control remote sensing
Online Access:	https://www.mdpi.com/2073-4395/14/11/2669
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