Comparative Analysis of Feature Importance Algorithms for Grassland Aboveground Biomass and Nutrient Prediction Using Hyperspectral Data

Comparative Analysis of Feature Importance Algorithms for Grassland Aboveground Biomass and Nutrient Prediction Using Hyperspectral Data

Estimating forage yield and nutrient composition using hyperspectral remote sensing is a major challenge. However, there is still a lack of comprehensive research on the optimal wavelength for the analysis of various nutrients in pasture. In this research, conducted in Hailar District, Hulunber City...

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Bibliographic Details
Main Authors: Yue Zhao, Dawei Xu, Shuzhen Li, Kai Tang, Hongliang Yu, Ruirui Yan, Zhenwang Li, Xu Wang, Xiaoping Xin
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Agriculture
Subjects:
remote sensing data analysis
forage quality assessment
spectral feature selection
agricultural resource management
environmental sensing technologies
Online Access:https://www.mdpi.com/2077-0472/14/3/389

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https://www.mdpi.com/2077-0472/14/3/389

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