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...

Description complète

Détails bibliographiques

Auteurs principaux:	Yue Zhao, Dawei Xu, Shuzhen Li, Kai Tang, Hongliang Yu, Ruirui Yan, Zhenwang Li, Xu Wang, Xiaoping Xin
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2024-02-01
Collection:	Agriculture
Sujets:	remote sensing data analysis forage quality assessment spectral feature selection agricultural resource management environmental sensing technologies
Accès en ligne:	https://www.mdpi.com/2077-0472/14/3/389
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!