DaylilyNet: A Multi-Task Learning Method for Daylily Leaf Disease Detection

Timely detection and management of daylily diseases are crucial to prevent yield reduction. However, detection models often struggle with handling the interference of complex backgrounds, leading to low accuracy, especially in detecting small targets. To address this problem, we propose DaylilyNet,...

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Detalles Bibliográficos
Autores principales: Song, Zishen, Wang, Dong, Xiao, Lizhong, Zhu, Yongjian, Cao, Guogang, Wang, Yuli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10537663/
https://www.ncbi.nlm.nih.gov/pubmed/37765935
http://dx.doi.org/10.3390/s23187879

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10537663/
https://www.ncbi.nlm.nih.gov/pubmed/37765935
http://dx.doi.org/10.3390/s23187879

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