Estimates of plant density of wheat crops at emergence from very low altitude UAV imagery

Plant density is useful variable that determines the fate of the wheat crop. The most commonly used method for plant density quantification is based on visual counting from ground level. The objective of this study is to develop and evaluate a method for estimating wheat plant density at the emergen...

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Bibliographic Details
Published in:	Remote sensing of environment Vol. 198; pp. 105 - 114
Main Authors:	Jin, Xiuliang, Liu, Shouyang, Baret, Frédéric, Hemerlé, Matthieu, Comar, Alexis
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.09.2017 Elsevier
Subjects:	altitude cameras computer software Computer vision algorithm crops developmental stages Environmental Sciences flight genotype Global Changes leaves Particle swarm optimization (PSO)-support vector machine (SVM) phenotype Plant density remote sensing rotors sowing date support vector machines Unmanned aerial vehicle wheat wind Winter wheat Computer vision algorithm Particle swarm optimization (PSO)-support vector machine (SVM) Unmanned aerial vehicle Plant density Winter wheat densité de végétation drone optimisation multi-objectifs par essaim particulaire (mopso) multi-objective particle swarm optimization (mopso) biodiversité végétale imagerie haute resolution culture agricole phénotypage wheat blé
ISSN:	0034-4257, 1879-0704
Online Access:	Get full text
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