A Multi-Area Task Path-Planning Algorithm for Agricultural Drones Based on Improved Double Deep Q-Learning Net

With the global population growth and increasing food demand, the development of precision agriculture has become particularly critical. In precision agriculture, accurately identifying areas of nitrogen stress in crops and planning precise fertilization paths are crucial. However, traditional cover...

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Detalles Bibliográficos

Principais autores:	Jian Li, Weijian Zhang, Junfeng Ren, Weilin Yu, Guowei Wang, Peng Ding, Jiawei Wang, Xuen Zhang
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2024-08-01
Series:	Agriculture
Assuntos:	precision agriculture coverage path-planning improved DDQN LSTM dueling network
Acceso en liña:	https://www.mdpi.com/2077-0472/14/8/1294
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