Smartagb: Aboveground Biomass Estimation of Sorghum Based on Spatial Resolution, Machine Learning and Vegetation Index

Liu, Qi and Wang, Yaxin and Yang, Jie and Zhang, Wuping and Wang, Huanchen and Li, Fuzhong and Wang, Guofang and Huo, Yuansen and Han, Jiwan (2023) Smartagb: Aboveground Biomass Estimation of Sorghum Based on Spatial Resolution, Machine Learning and Vegetation Index. EAI Endorsed Transactions on Internet of Things.

[thumbnail of 55200.pdf] PDF
55200.pdf

Download (2MB)

Abstract

This work aims to explore the feasibility of predicting and estimating the aboveground biomass (AGB) of sorghum using multispectral images captured by UAVs, and clarify the quantitative relationship between vegetation index and sorghum AGB based on different spatial resolutions, and build an AGB est

Item Type: Article
Date Deposited: 04 Mar 2026 16:31
Last Modified: 11 Apr 2026 07:24
URI: http://eprints.eai.eu/id/eprint/44139

Actions (login required)

View Item
View Item