UAV-based rice aboveground biomass estimation using a random forest model with multi-organ feature selection-Reference-Cited by-同舟云学术

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UAV-based rice aboveground biomass estimation using a random forest model with multi-organ feature selection

Published:2025-03 Issue: Volume:164 Page:127529
ISSN:1161-0301
Container-title:European Journal of Agronomy
language:en
Short-container-title:European Journal of Agronomy

Author:

Shi Jing,Yang Kaili^ORCID,Yuan Ningge,Li Yuanjin^ORCID,Ma Longfei,Liu Yadong^ORCID,Fang Shenghui,Peng Yi,Zhu Renshan,Wu Xianting,Gong Yan^ORCID

Publisher

Elsevier BV

Reference68 articles.

1. Estimation of canopy biomass components in paddy rice from combined optical and SAR data using multi-target gaussian regressor stacking;Alebele;Remote Sens.,2020

2. A review of UAV platforms, sensors, and applications for monitoring of sugarcane crops;Amarasingam;Remote Sens. Appl.: Soc. Environ.,2022

3. Dynamic monitoring of biomass of rice under different nitrogen treatments using a lightweight UAV with dual image-frame snapshot cameras;Cen;Plant Methods,2019

4. Estimation of winter wheat plant nitrogen concentration from uav hyperspectral remote sensing combined with machine learning methods;Chen;Remote Sens.,2023

5. Cross-scale mapping of above-ground biomass and shrub dominance by integrating UAV and satellite data in temperate grassland;Chen;Remote Sens. Environ.,2024

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