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Statements

Subject Item
n2:RIV%2F62156489%3A43210%2F13%3A00229758%21RIV15-GA0-43210___
rdf:type
n6:Vysledek skos:Concept
dcterms:description
The effectiveness of decision-making processes in the agricultural domain can be improved by integrating current local environmental and agromonitoring with the Geographic Information System (GIS) and wireless sensor networks (WSNs). The presented paper describes conceptual approaches to context-based cartographic visualization methods for agricultural and metrological data acquired by WSN and a portal prototype for integrated visualization. Each sensor used for agricultural applications has a location and can be placed within a broader spatial context. In our study, sensor characteristics (soil temperature and moisture, atmospheric temperature and moisture) were automatically monitored at frequent intervals and these readings were aggregated with geospatial data from both local and remote (Web Map Service) sources. An experimental portal for the integration and visualization of sensor data and geospatial data was designed and prototyped on the basis of an open source interoperable platform. Conceptual approaches were successfully implemented on four experimental small-plot fields planted with different crop species and operated using different soil tillage practices. Experimental fields were situated in the southeast of the Czech Republic. Very Long range Identification Tag (VLIT) technology was used for wireless communication. Sensor observations verified differences in agrometeorological variables for the conventional tillage of soil and the no-tillage variant. Contextual cartographic visualization was successfully deployed for map view, dynamic cartographic symbology, and the dynamic measurement chart. The effectiveness of decision-making processes in the agricultural domain can be improved by integrating current local environmental and agromonitoring with the Geographic Information System (GIS) and wireless sensor networks (WSNs). The presented paper describes conceptual approaches to context-based cartographic visualization methods for agricultural and metrological data acquired by WSN and a portal prototype for integrated visualization. Each sensor used for agricultural applications has a location and can be placed within a broader spatial context. In our study, sensor characteristics (soil temperature and moisture, atmospheric temperature and moisture) were automatically monitored at frequent intervals and these readings were aggregated with geospatial data from both local and remote (Web Map Service) sources. An experimental portal for the integration and visualization of sensor data and geospatial data was designed and prototyped on the basis of an open source interoperable platform. Conceptual approaches were successfully implemented on four experimental small-plot fields planted with different crop species and operated using different soil tillage practices. Experimental fields were situated in the southeast of the Czech Republic. Very Long range Identification Tag (VLIT) technology was used for wireless communication. Sensor observations verified differences in agrometeorological variables for the conventional tillage of soil and the no-tillage variant. Contextual cartographic visualization was successfully deployed for map view, dynamic cartographic symbology, and the dynamic measurement chart.
dcterms:title
Prototyping the visualization of geographic and sensor data for agriculture. Prototyping the visualization of geographic and sensor data for agriculture.
skos:prefLabel
Prototyping the visualization of geographic and sensor data for agriculture. Prototyping the visualization of geographic and sensor data for agriculture.
skos:notation
RIV/62156489:43210/13:00229758!RIV15-GA0-43210___
n3:aktivita
n14:P
n3:aktivity
P(GA205/09/1437)
n3:cisloPeriodika
September 2013
n3:dodaniDat
n15:2015
n3:domaciTvurceVysledku
n13:1352482
n3:druhVysledku
n11:J
n3:duvernostUdaju
n18:S
n3:entitaPredkladatele
n16:predkladatel
n3:idSjednocenehoVysledku
100633
n3:idVysledku
RIV/62156489:43210/13:00229758
n3:jazykVysledku
n12:eng
n3:klicovaSlova
adaptive visualization; data integration; sensors; cartographic visualization
n3:klicoveSlovo
n9:cartographic%20visualization n9:data%20integration n9:sensors n9:adaptive%20visualization
n3:kodStatuVydavatele
NL - Nizozemsko
n3:kontrolniKodProRIV
[674C84F769B6]
n3:nazevZdroje
Computers and Electronics in Agriculture
n3:obor
n19:DE
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
4
n3:projekt
n4:GA205%2F09%2F1437
n3:rokUplatneniVysledku
n15:2013
n3:svazekPeriodika
97
n3:tvurceVysledku
Kubíček, Petr Kozel, Jiří Lukas, Vojtěch Stampach, Radim
n3:wos
324226400012
s:issn
0168-1699
s:numberOfPages
9
n5:doi
10.1016/j.compag.2013.07.007
n17:organizacniJednotka
43210