An autonomous navigation method for field phenotyping robot based on ground-air collaboration

High-throughput phenotyping collection technology is important in affecting the efficiency of crop breeding. This study introduces a novel autonomous navigation method for phenotyping robots that leverages ground-air collaboration to meet the demands of unmanned crop phenotypic data collection. The...

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Bibliografiske detaljer

Principais autores:	Zikang Zhang, Zhengda Li, Meng Yang, Jiale Cui, Yang Shao, Youchun Ding, Wanneng Yang, Wen Qiao, Peng Song
Format:	Artigo
Sprog:	Inglês
Udgivet:	KeAi Communications Co., Ltd. 2025-12-01
Serier:	Artificial Intelligence in Agriculture
Fag:	Phenotyping robot Ground-air collaboration Semantic segmentation Path planning Autonomous navigation
Online adgang:	http://www.sciencedirect.com/science/article/pii/S2589721725000601
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