Identification of tobacco leaf diseases using hyperspectral imaging and machine learning with SHAP interpretability analysis

Tobacco leaf diseases significantly affect yield and quality, underscoring the need for rapid and non-destructive diagnostic tools. Although hyperspectral imaging (HSI) has been applied in tobacco pathology, most existing studies focus on single diseases and lack generalized, interpretable framework...

תיאור מלא

מידע ביבליוגרפי

Principais autores:	Peng Luo, Yang Yang, Huilai Zhang, Man Yi, Xianguo Zhou, Yide Yang, Huabao Chen, Min Yan, Chunxian Jiang
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Frontiers Media S.A. 2026-01-01
סדרה:	Frontiers in Plant Science
נושאים:	hyperspectral imaging machine learning tobacco leaf diseases disease classification SHAP analysis
גישה מקוונת:	https://www.frontiersin.org/articles/10.3389/fpls.2025.1711972/full
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!