A scheduling route planning algorithm based on the dynamic genetic algorithm with ant colony binary iterative optimization for unmanned aerial vehicle spraying in multiple tea fields

The complex environments and weak infrastructure constructions of hilly mountainous areas complicate the effective path planning for plant protection operations. Therefore, with the aim of improving the current status of complicated tea plant protections in hills and slopes, an unmanned aerial vehic...

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Detalles Bibliográficos
Autores principales: Liu, Yangyang, Zhang, Pengyang, Ru, Yu, Wu, Delin, Wang, Shunli, Yin, Niuniu, Meng, Fansheng, Liu, Zhongcheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9523449/
https://www.ncbi.nlm.nih.gov/pubmed/36186015
http://dx.doi.org/10.3389/fpls.2022.998962

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9523449/
https://www.ncbi.nlm.nih.gov/pubmed/36186015
http://dx.doi.org/10.3389/fpls.2022.998962

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