Diagnosis of early nitrogen, phosphorus and potassium deficiency categories in rice based on multimodal integration and knowledge distillation

Abstract Rapid, non-destructive, lightweight and accurate diagnosis of early stage nutrient deficiency in rice is essential for both yield and quality. Traditional diagnostic methods often exhibit low efficiency, reduced accuracy, and a lack of timeliness. To address these issues, a diagnostic metho...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Xuanying Liao, Hongyun Yang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2025-04-01
coleção:	Scientific Reports
Assuntos:	Rice deficiency diagnosis Transfer learning Ensemble learning Multimodal features Knowledge distillation
Acesso em linha:	https://doi.org/10.1038/s41598-025-97585-0
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!