Image 1_Hyperspectral estimation of chlorophyll density in winter wheat using fractional-order derivative combined with machine learning.tif

Image 1_Hyperspectral estimation of chlorophyll density in winter wheat using fractional-order derivative combined with machine learning.tif

<p>Chlorophyll density (ChD) can reflect the photosynthetic capacity of the winter wheat population, therefore achieving real-time non-destructive monitoring of ChD in winter wheat is of great significance for evaluating the growth status of winter wheat. Derivative preprocessing has a wide ra...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Chenbo Yang (10004575) (author)
مؤلفون آخرون: Meichen Feng (3621626) (author), Juan Bai (798838) (author), Hui Sun (107933) (author), Rutian Bi (12501683) (author), Lifang Song (10222278) (author), Chao Wang (146527) (author), Yu Zhao (104852) (author), Wude Yang (3621620) (author), Lujie Xiao (3621623) (author), Meijun Zhang (10790996) (author), Xiaoyan Song (2887361) (author)
منشور في: 2025
الموضوعات:
Plant Biology
hyperspectral
chlorophyll density
fractional-order derivative
competitive adaptive reweighted sampling
machine learning
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