eprintid: 11354
rev_number: 2
eprint_status: archive
userid: 1974
dir: disk0/00/01/13/54
datestamp: 2007-10-01
lastmod: 2010-04-12 07:35:42
status_changed: 2009-08-20 14:37:14
type: workpaper
metadata_visibility: show
item_issues_count: 0
doclang: en
projects: da2f2
projects: djf
projects: dk-soar
fundingpart: main
refereed: never
budget: 0
publicfulltext: FALSE
creators_name: Hansen, Preben Klarskov
title: Using multi-temporal sensor-based measurements in early growth stages to estimate potential yield of spring barley (Hordeum vulgare L.) varieties in competition with weeds
ispublished: unpub
subjects: 8planthealth
subjects: 9weed
keywords: Multivariate statistics; Spring Barley; sensors; competition; weeds
abstract: At the time for weed control, either chemical or physical, the potential yield of the crop (and thus the potential size of the yield loss due to weeds) is very uncertain, as only a minor part of the growing season has passed and the time for the major yield formation is after the weed control.
The aim of this study was to investigate four scenarios of using sensor-based reflectance, vegetation cover- and canopy structure measurements in the early growth stages to estimate the potential yield of four pure spring barley varieties and four variety mixtures of spring barley grown in competition with weeds under two different nutrient levels in two years. 

date: 2007
date_type: published
institution: University of Aarhus, Faculty of Agricultural Sciences
department: Department of Integrated Pest Management
full_text_status: restricted
fp7_project: no
access_rights: info:eu-repo/semantics/openAccess
citation:    Hansen, Preben Klarskov    (2007) Using multi-temporal sensor-based measurements in early growth stages to estimate potential yield of spring barley (Hordeum vulgare L.) varieties in competition with weeds.    Working paper, Department of Integrated Pest Management, University of Aarhus, Faculty of Agricultural Sciences .   [Unpublished]     
document_url: /id/eprint/11354/1/11354.doc