UAV- and Random-Forest-AdaBoost (RFA)-Based Estimation of Rice Plant Traits

UAV- and Random-Forest-AdaBoost (RFA)-Based Estimation of Rice Plant Traits

Rapid, accurate and inexpensive methods are required to analyze plant traits throughout all crop growth stages for plant phenotyping. Few studies have comprehensively evaluated plant traits from multispectral cameras onboard UAV platforms. Additionally, machine learning algorithms tend to over- or u...

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Bibliographic Details
Main Authors:	Farrah Melissa Muharam, Khairudin Nurulhuda, Zed Zulkafli, Mohamad Arif Tarmizi, Asniyani Nur Haidar Abdullah, Muhamad Faiz Che Hashim, Siti Najja Mohd Zad, Derraz Radhwane, Mohd Razi Ismail
Format:	Article
Language:	English
Published:	MDPI AG 2021-05-01
Series:	Agronomy
Subjects:	rice phenotyping multispectral images machine learning boosting algorithm
Online Access:	https://www.mdpi.com/2073-4395/11/5/915

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