A Novel Hybrid GOA-XGB Model for Estimating Wheat Aboveground Biomass Using UAV-Based Multispectral Vegetation Indices

The rapid and nondestructive determination of wheat aboveground biomass (AGB) is important for accurate and efficient agricultural management. In this study, we established a novel hybrid model, known as extreme gradient boosting (XGBoost) optimization using the grasshopper optimization algorithm (G...

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Autors principals:	Yixiu Han, Rui Tang, Zhenqi Liao, Bingnian Zhai, Junliang Fan
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2022-07-01
Col·lecció:	Remote Sensing
Matèries:	metaheuristic optimization algorithm feature selection XGBoost Gaussian process regression aboveground biomass mapping
Accés en línia:	https://www.mdpi.com/2072-4292/14/14/3506
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