Data Sheet 1_Construction and interpretation of tobacco leaf position discrimination model based on interpretable machine learning.docx

Data Sheet 1_Construction and interpretation of tobacco leaf position discrimination model based on interpretable machine learning.docx

<p>Tobacco leaf position is closely associated with its quality whose material basis is the chemical components of tobacco leaf. In recent years, near-infrared (NIR) spectroscopy combined with algorithmic models has emerged as a popular method for identifying the tobacco leaf position. However...

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Bibliographic Details
Main Author: Ranran Kou (21785540) (author)
Other Authors: Cong Wang (107450) (author), Jinxia Liu (290747) (author), Ran Wan (5139560) (author), Zhe Jin (43692) (author), Le Zhao (483824) (author), Youjie Liu (12845986) (author), Junwei Guo (498195) (author), Feng Li (30515) (author), Hongbo Wang (587749) (author), Song Yang (162335) (author), Cong Nie (8371278) (author)
Published: 2025
Subjects:
Plant Biology
tobacco leaf chemical components
position discrimination
analysis of crop quality
model interpretation
SHapley Additive exPlanations (SHAP)
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