Low-rank Adaptation Method for Fine-tuning Plant Disease Recognition Models

[Objective]When deep learning is applied to plant disease recognition tasks, model fine-tuning faces significant challenges, including limited computational resources and high parameter update overhead. Although traditional low-rank adaptation (LoRA) methods effectively reduce parameter overhead, th...

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Autori principali:	HUANG Jinqing, YE Jin, HU Huilin, YANG Jihui, LAN Wei, ZHANG Yanqing
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Editorial Office of Smart Agriculture 2026-01-01
Serie:	智慧农业
Soggetti:	low-rank adaptive fine-tuning feature similarity dynamic rank allocation algorithm rank allocation update strategy
Accesso online:	https://www.smartag.net.cn/CN/10.12133/j.smartag.SA202504003
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