Path Planning for Agricultural UAVs Based on Deep Reinforcement Learning and Energy Consumption Constraints

Path Planning for Agricultural UAVs Based on Deep Reinforcement Learning and Energy Consumption Constraints

Traditional pesticide application methods pose systemic threats to sustainable agriculture due to inefficient spraying practices and ecological contamination. Although agricultural drones demonstrate potential to address these challenges, they face critical limitations in energy-constrained complete...

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Bibliographic Details
Main Authors: Haitao Fu, Zheng Li, Weijian Zhang, Yuxuan Feng, Li Zhu, Yunze Long, Jian Li
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Agriculture
Subjects:
precision agriculture
deep reinforcement learning path planning Bi-RNN
Online Access:https://www.mdpi.com/2077-0472/15/9/943
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