Modeling maize above-ground biomass based on machine learning approaches using UAV remote-sensing data

Modeling maize above-ground biomass based on machine learning approaches using UAV remote-sensing data

Abstract Background Above-ground biomass (AGB) is a basic agronomic parameter for field investigation and is frequently used to indicate crop growth status, the effects of agricultural management practices, and the ability to sequester carbon above and below ground. The conventional way to obtain AG...

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Bibliographic Details
Main Authors: Liang Han, Guijun Yang, Huayang Dai, Bo Xu, Hao Yang, Haikuan Feng, Zhenhai Li, Xiaodong Yang
Format: Article
Language:English
Published: BMC 2019-02-01
Series:Plant Methods
Subjects:
AGB
Machine learning
UAV
Maize
Plant height
BIOVP
Online Access:http://link.springer.com/article/10.1186/s13007-019-0394-z

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http://link.springer.com/article/10.1186/s13007-019-0394-z

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