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Hardware performance analysis for deep learning-based mistletoe detection in UAV imagery

delete2025-06-23
delete0
PRE
AI
C
Carlos Bermejo-Sabbagh
M
Mauricio Gabriel Orozco-del-Castillo
J
Juan C. Valdiviezo-N.
P
Pedro A.G. Ortiz-Sánchez
N
Nora Leticia Cuevas-Cuevas
DOI：10.1016/j.compag.2025.110629delete
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摘要

摘要

En 中文
• 评估了四种硬件平台在槲寄生检测中的CNN训练效率。 • 禁用超线程显著减少了训练时间，尤其是在非CGL设置中。 • 最新一代GPU在短期深度学习工作负载中优于高端CPU。 • MRD-AMD为中等训练任务提供了具有成本效益的替代方案。 • 推动了生态数据分析中深度学习应用的硬件优化。

期刊

Computers and Electronics in Agriculture 封面图
Computers and Electronics in Agriculture
IF:
8.9
论文数:
1.0W
被引数:
4.8W

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