caa a22 4500 445864427 CHVBK 20180317145453.0 cr unu---uuuuu 170323e20111201xx s 000 0 eng 10.1007/s11119-011-9226-5 doi (NATIONALLICENCE)springer-10.1007/s11119-011-9226-5 A floating sensing system to evaluate soil and crop variability within flooded paddy rice fields [Elektronische Daten] [Mohammad Islam, Liesbet Cockx, Eef Meerschman, Philippe De Smedt, Fun Meeuws, Marc Van Meirvenne] Continuous paddy rice cultivation requires fields to be flooded most of the time limiting seriously the collection of detailed soil information. So far, no appropriate soil sensor technology for identifying soil variability of flooded fields has been reported. Therefore, the primary objective was the development of a sensing system that can float, acquire and process detailed geo-referenced soil information within flooded fields. An additional objective was to determine whether the collected apparent electrical conductivity (ECa) information could be used to support soil management at a within-field level. A floating sensing system (FloSSy) was built to record ECa using the electromagnetic induction sensor EM38, which does not require physical contact with the soil. Its feasibility was tested in an alluvial paddy field of 2.7ha located in the Brahmaputra floodplain of Bangladesh. The high-resolution (1×1m) ECa data were classified into three classes using the fuzzy k-means classification method. The variation among the classes could be attributed to differences in subsoil (0.15-0.30m below soil surface) bulk density, with the smallest ECa values representing the lowest bulk density. This effect was attributed to differences in compaction of the plough pan due to differential puddling. There was also a significant difference in rice yield among the ECa classes, with the smallest ECa values representing the lowest yield. It was concluded that the floating sensing system allowed the collection of relevant soil information, opening potential for precision agriculture practices in flooded crop fields. Springer Science+Business Media, LLC, 2011 Apparent electrical conductivity nationallicence EM38 nationallicence Flooded soil nationallicence Paddy nationallicence Bangladesh nationallicence Islam Mohammad Research Group Soil Spatial Inventory Techniques, Department of Soil Management, Faculty of Bioscience Engineering, Ghent University, Coupure 653, 9000, Ghent, Belgium aut Cockx Liesbet Research Group Soil Spatial Inventory Techniques, Department of Soil Management, Faculty of Bioscience Engineering, Ghent University, Coupure 653, 9000, Ghent, Belgium aut Meerschman Eef Research Group Soil Spatial Inventory Techniques, Department of Soil Management, Faculty of Bioscience Engineering, Ghent University, Coupure 653, 9000, Ghent, Belgium aut De Smedt Philippe Research Group Soil Spatial Inventory Techniques, Department of Soil Management, Faculty of Bioscience Engineering, Ghent University, Coupure 653, 9000, Ghent, Belgium aut Meeuws Fun Research Group Soil Spatial Inventory Techniques, Department of Soil Management, Faculty of Bioscience Engineering, Ghent University, Coupure 653, 9000, Ghent, Belgium aut Van Meirvenne Marc Research Group Soil Spatial Inventory Techniques, Department of Soil Management, Faculty of Bioscience Engineering, Ghent University, Coupure 653, 9000, Ghent, Belgium aut Precision Agriculture Springer US; http://www.springer-ny.com 12/6(2011-12-01), 850-859 1385-2256 12:6<850 2011 12 11119 https://doi.org/10.1007/s11119-011-9226-5 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11119-011-9226-5 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Islam Mohammad Research Group Soil Spatial Inventory Techniques, Department of Soil Management, Faculty of Bioscience Engineering, Ghent University, Coupure 653, 9000, Ghent, Belgium aut NATIONALLICENCE 700 1- Cockx Liesbet Research Group Soil Spatial Inventory Techniques, Department of Soil Management, Faculty of Bioscience Engineering, Ghent University, Coupure 653, 9000, Ghent, Belgium aut NATIONALLICENCE 700 1- Meerschman Eef Research Group Soil Spatial Inventory Techniques, Department of Soil Management, Faculty of Bioscience Engineering, Ghent University, Coupure 653, 9000, Ghent, Belgium aut NATIONALLICENCE 700 1- De Smedt Philippe Research Group Soil Spatial Inventory Techniques, Department of Soil Management, Faculty of Bioscience Engineering, Ghent University, Coupure 653, 9000, Ghent, Belgium aut NATIONALLICENCE 700 1- Meeuws Fun Research Group Soil Spatial Inventory Techniques, Department of Soil Management, Faculty of Bioscience Engineering, Ghent University, Coupure 653, 9000, Ghent, Belgium aut NATIONALLICENCE 700 1- Van Meirvenne Marc Research Group Soil Spatial Inventory Techniques, Department of Soil Management, Faculty of Bioscience Engineering, Ghent University, Coupure 653, 9000, Ghent, Belgium aut NATIONALLICENCE 773 0- Precision Agriculture Springer US; http://www.springer-ny.com 12/6(2011-12-01), 850-859 1385-2256 12:6<850 2011 12 11119 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer