Recognising weeds in a maize crop using a random forest machine-learning algorithm and near-infrared snapshot mosaic hyperspectral imagery

Junfeng Gao, David Nuyttens, Peter Lootens, Yong He, Jan Pieters

Onderzoeksoutput: Bijdrage aan tijdschrift › A1: Web of Science-artikel

Dit citeren

@article{88b1f7b7540e4bdab7ab5c0c4373fc20,

title = "Recognising weeds in a maize crop using a random forest machine-learning algorithm and near-infrared snapshot mosaic hyperspectral imagery",

author = "Junfeng Gao and David Nuyttens and Peter Lootens and Yong He and Jan Pieters",

year = "2018",

language = "English",

volume = "170",

pages = "39--50",

journal = "Biosystems Engineering",

issn = "1537-5110",

publisher = "Academic Press Inc Elsevier Science",

number = "June 2018",

}

TY - JOUR

T1 - Recognising weeds in a maize crop using a random forest machine-learning algorithm and near-infrared snapshot mosaic hyperspectral imagery

AU - Gao, Junfeng

AU - Nuyttens, David

AU - Lootens, Peter

AU - He, Yong

AU - Pieters, Jan

PY - 2018

Y1 - 2018

M3 - A1: Web of Science-article

VL - 170

SP - 39

EP - 50

JO - Biosystems Engineering

JF - Biosystems Engineering

SN - 1537-5110

IS - June 2018

ER -