Improved Estimation of Aboveground Biomass in Rubber Plantations Using Deep Learning on UAV Multispectral Imagery

Improved Estimation of Aboveground Biomass in Rubber Plantations Using Deep Learning on UAV Multispectral Imagery

The accurate estimation of aboveground biomass (AGB) in rubber plantations is essential for predicting rubber production and assessing carbon storage. Multispectral sensors mounted on unmanned aerial vehicles (UAVs) can obtain high spatiotemporal resolution imagery of rubber plantations, offering si...

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Bibliographic Details
Main Authors: Hongjian Tan, Weili Kou, Weiheng Xu, Leiguang Wang, Huan Wang, Ning Lu
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Drones
Subjects:
aboveground biomass
multispectral images
feature selection
machine learning
deep convolutional neural network
Online Access:https://www.mdpi.com/2504-446X/9/1/32
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