SHAP plot of the LAI monitoring model.

SHAP plot of the LAI monitoring model.

<div><p>This study aims to address the challenge of monitoring Plant Height (PH), SPAD, Leaf Area Index (LAI), and Above-Ground Biomass (AGB) in Gerbera under greenhouse cultivation conditions. We initially gathered multi-spectral images and corresponding ground truth data of these param...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Xinrui Wang (488330) (author)
مؤلفون آخرون: Yingming Shen (18982004) (author), Peng Tian (119465) (author), Mengyao Wu (808514) (author), Zhaowen Li (3727747) (author), Jiawei Zhao (363439) (author), Jihong Sun (344786) (author), Ye Qian (7400186) (author)
منشور في: 2025
الموضوعات:
Ecology
Inorganic Chemistry
Plant Biology
Space Science
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Chemical Sciences not elsewhere classified
Information Systems not elsewhere classified
recursive feature elimination
monitoring plant height
leaf area index
key growth indicators
greenhouse cultivation conditions
support vector regressor
random forest regressor
decision tree regressor
best individual model
adaptive ensemble model
ndvi ), spad
vis ): ndvi
initially gathered multi
div >< p
2 </ sup
rfecv model outperforms
ph ), spad
spectral image fusion
gndvi ), lai
gerbera using multi
lai ),
xgboost regressor
rfecv model
gndvi ),
spectral images
five vis
textural features
test dataset
study aims
showing improvements
results indicate
precise method
linear regression
highest accuracy
ground biomass
fusion features
findings confirm
collected images
altitude uav
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