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Statements

Subject Item
n2:RIV%2F60460709%3A41310%2F06%3A15976%21RIV07-MSM-41310___
rdf:type
skos:Concept n15:Vysledek
dcterms:description
The main aim of this article is to evaluate the possibility of forage yields maps creating based on mowing machine´s conditioner power input measurement. According to Table 3 strong spatial dependence was observed for conditioner power input data. For the data file from material feed rate measurement the medium spatial dependence was calculated. Relatively low value of variograms range is possible to explain by the type of chosen exponential model. Visual displaying of data distribution is done by the maps. These maps were plotted under kriging method. It is possible to observe distributions of higher and smaller values of conditioner power input and material feed rate measurement by this way. Plotted maps are shown in figures. The correlation coefficients were calculated 0,419 for filtered data. It follows from this evaluation that conditioner power input measurement can be used for the determination of mowing machine material feed rate. The main aim of this article is to evaluate the possibility of forage yields maps creating based on mowing machine´s conditioner power input measurement. According to Table 3 strong spatial dependence was observed for conditioner power input data. For the data file from material feed rate measurement the medium spatial dependence was calculated. Relatively low value of variograms range is possible to explain by the type of chosen exponential model. Visual displaying of data distribution is done by the maps. These maps were plotted under kriging method. It is possible to observe distributions of higher and smaller values of conditioner power input and material feed rate measurement by this way. Plotted maps are shown in figures. The correlation coefficients were calculated 0,419 for filtered data. It follows from this evaluation that conditioner power input measurement can be used for the determination of mowing machine material feed rate. The main aim of this article is to evaluate the possibility of forage yields maps creating based on mowing machine´s conditioner power input measurement. According to Table 3 strong spatial dependence was observed for conditioner power input data. For the data file from material feed rate measurement the medium spatial dependence was calculated. Relatively low value of variograms range is possible to explain by the type of chosen exponential model. Visual displaying of data distribution is done by the maps. These maps were plotted under kriging method. It is possible to observe distributions of higher and smaller values of conditioner power input and material feed rate measurement by this way. Plotted maps are shown in figures. The correlation coefficients were calculated 0,419 for filtered data. It follows from this evaluation that conditioner power input measurement can be used for the determination of mowing machine material feed rate.
dcterms:title
Technika měření průchodnosti pícnin a vytváření výnosových map. Feed Rate Measurement Technique and Yield Maps Creating in Fodder Plant Harvesting Feed Rate Measurement Technique and Yield Maps Creating in Fodder Plant Harvesting
skos:prefLabel
Technika měření průchodnosti pícnin a vytváření výnosových map. Feed Rate Measurement Technique and Yield Maps Creating in Fodder Plant Harvesting Feed Rate Measurement Technique and Yield Maps Creating in Fodder Plant Harvesting
skos:notation
RIV/60460709:41310/06:15976!RIV07-MSM-41310___
n4:strany
123;128
n4:aktivita
n18:Z
n4:aktivity
Z(MSM6046070905)
n4:cisloPeriodika
4
n4:dodaniDat
n16:2007
n4:domaciTvurceVysledku
n8:5370698 n8:2923645
n4:druhVysledku
n13:J
n4:duvernostUdaju
n17:S
n4:entitaPredkladatele
n9:predkladatel
n4:idSjednocenehoVysledku
475684
n4:idVysledku
RIV/60460709:41310/06:15976
n4:jazykVysledku
n14:eng
n4:klicovaSlova
material feed rate, yield map, moving machine, conditioner, torque meter
n4:klicoveSlovo
n12:yield%20map n12:torque%20meter n12:moving%20machine n12:material%20feed%20rate n12:conditioner
n4:kodStatuVydavatele
CZ - Česká republika
n4:kontrolniKodProRIV
[A37990F345EC]
n4:nazevZdroje
Research in Agricultural Engineering (Zemědělská technika)
n4:obor
n11:GB
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
3
n4:rokUplatneniVysledku
n16:2006
n4:svazekPeriodika
52
n4:tvurceVysledku
Prošek, Václav Miklenda, Petr Kumhála, František
n4:zamer
n10:MSM6046070905
s:issn
1212-9151
s:numberOfPages
6
n6:organizacniJednotka
41310