SE-SWIN UNET FOR IMAGE SEGMENTATION OF MAJOR MAIZE FOLIAR DISEASES

ABSTRACT Maize yields are important for human food security, and the issue of how to quickly and accurately segment areas of maize disease is an important one in the field of smart agriculture. To address the problem of irregular and multi-area clustering of regions of maize leaf lesions, which can...

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Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Yujie Yang, Congsheng Wang, Qing Zhao, Guoqiang Li, Hecang Zang
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	Sociedade Brasileira de Engenharia Agrícola 2024-02-01
Σειρά:	Engenharia Agrícola
Θέματα:	maize leaf diseases image segmentation Swin-Unet Swin transformer SENet
Διαθέσιμο Online:	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162024000100303&lng=en&tlng=en
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