Lightweight Deep Learning Models for High-Precision Rice Seedling Segmentation from UAV-Based Multispectral Images

Accurate segmentation and detection of rice seedlings is essential for precision agriculture and high-yield cultivation. However, current methods suffer from high computational complexity and poor robustness to different rice varieties and densities. This article proposes 2 lightweight neural networ...

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Detalles Bibliográficos
Autores principales: Zhang, Panli, Sun, Xiaobo, Zhang, Donghui, Yang, Yuechao, Wang, Zhenhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AAAS 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10688663/
https://www.ncbi.nlm.nih.gov/pubmed/38047001
http://dx.doi.org/10.34133/plantphenomics.0123

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10688663/
https://www.ncbi.nlm.nih.gov/pubmed/38047001
http://dx.doi.org/10.34133/plantphenomics.0123

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