Deep learning in cropland field identification: A review

•A bibliometric and content analysis was conducted to comprehensively review and analyze deep learning research in cropland field identification.•The paper discusses the challenges of deep learning-based research on cropland field identification, providing readers with insights and directions for fu...

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Veröffentlicht in:	Computers and electronics in agriculture 2024-07, Vol.222, p.109042, Article 109042
Hauptverfasser:	Xu, Fan, Yao, Xiaochuang, Zhang, Kangxin, Yang, Hao, Feng, Quanlong, Li, Ying, Yan, Shuai, Gao, Bingbo, Li, Shaoshuai, Yang, Jianyu, Zhang, Chao, Lv, Yahui, Zhu, Dehai, Ye, Sijing
Format:	Artikel
Sprache:	eng
Schlagworte:	agriculture artificial intelligence Bibliometric analysis computer software cropland Cropland field identification data collection Deep learning electronics labor mechanization precision agriculture quantitative analysis Remote sensing Sample dataset satellites
Online-Zugang:	Volltext
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