Physical and Cultural Weed Control Working Group of - European ...
Physical and Cultural Weed Control Working Group of - European ...
Physical and Cultural Weed Control Working Group of - European ...
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9 th EWRS Workshop on <strong>Physical</strong> <strong>and</strong> <strong>Cultural</strong> <strong>Weed</strong> <strong>Control</strong> 87<br />
Samsun, Turkey, 28 – 30 March 2011<br />
Maintenance <strong>of</strong> railway embankments - how to use the Yara N-sensor<br />
for prognosis <strong>of</strong> weed control measures<br />
Fredrik Fogelberg 1 <strong>and</strong> Anders Larsolle 2<br />
1) JTI - Institute <strong>of</strong> Agricultural <strong>and</strong> Environmental Engineering, POB 7033, SE-750 07 Uppsala,<br />
Sweden<br />
2) Swedish University <strong>of</strong> Agricultural Sciences, POB 7033, SE-750 07 Uppsala, Sweden.<br />
Introduction<br />
Railway embankments in Sweden need to be weeded regularly in order to keep the track in<br />
good technical condition. Today, this weeding is carried out mainly by herbicides <strong>and</strong> is based on<br />
local contractors’ possibility to find suitable time for this kind <strong>of</strong> work. There are no general<br />
recommendations <strong>of</strong> acceptable level <strong>of</strong> weed infestation.<br />
The Swedish Railway Maintenance Authority (SRMA) has experienced difficulties in making<br />
prognosis for when <strong>and</strong> where the weed control should take place in order to optimise staff,<br />
machines <strong>and</strong> suitable measures for the weeding operation.<br />
One major problem is the time consumption to identify a need for weeding, i e. are there too<br />
much weeds on the tracks which may impair train performance or is the level <strong>of</strong> weeds too small to<br />
motivate herbicide use.<br />
Material <strong>and</strong> methods<br />
In the pilot project we have used the Yara N-sensor as a tool for weed infestation assessment. A<br />
test rig was constructed for use on railway tracks (fig 1). This rig was equipped with the N-sensor<br />
including s<strong>of</strong>tware <strong>and</strong> a GPS. By moving the test rig on a railway line in central Sweden, we<br />
obtained data on biomass, expressed as S/N-value, which could be connected to a visual assessment<br />
<strong>of</strong> the weed coverage on the track.<br />
We did not measure weed density expressed as weight or percent coverage, only as a visual<br />
estimation <strong>of</strong> the amount <strong>of</strong> vegetation on the tracks being ‘non-existent’ (fig 2), ‘acceptable’,<br />
‘increasing’ (fig 3) <strong>and</strong> ‘non-acceptable’ (fig 4).<br />
Based on the measurements <strong>of</strong> the N-sensor a “weed map” <strong>of</strong> the railway line could be<br />
constructed (fig 5).<br />
Results <strong>and</strong> discussion<br />
The N-sensor identifies presence <strong>of</strong> vegetation which in turn can be connected with a herbicide<br />
treatment. However, although all vegetation on railway tracks should be removed, economical<br />
restrictions, lack <strong>of</strong> equipment <strong>and</strong> unsuitable weather conditions prevents herbicide use or other<br />
weed control measures.<br />
By using the N-sensor as a tool to detect unwanted vegetation on tracks in combination with a<br />
system for classifying weed coverage, an action plan for maintenance <strong>of</strong> the railway tracks on a<br />
national level can be created.<br />
A first step to introduce this system, is to identify levels <strong>of</strong> acceptable <strong>and</strong> non-acceptable<br />
weeds (species) <strong>and</strong>/or weed coverage. These levels will be connecting presence <strong>of</strong> weeds with the<br />
function <strong>of</strong> the railway, i.e. st<strong>and</strong>ard <strong>of</strong> the track in terms <strong>of</strong> e g maximum load <strong>of</strong> wagons <strong>and</strong>