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A floating sensing system to evaluate soil and crop variability within flooded paddy rice fields

Mohammad Monirul Islam UGent, Liesbet Cockx UGent, Eef Meerschman UGent, Philippe De Smedt UGent, Fun Meeuws UGent and Marc Van Meirvenne UGent (2011) PRECISION AGRICULTURE. 12(6). p.850-859
abstract
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 2.7 ha located in the Brahmaputra floodplain of Bangladesh. The high-resolution (1 x 1 m) 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 (0.15-0.30 m 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.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
Paddy, Bangladesh, Flooded soil, Apparent electrical conductivity, EM38, ELECTROMAGNETIC INDUCTION, WATER CONTENT
journal title
PRECISION AGRICULTURE
Precis. Agric.
volume
12
issue
6
pages
850 - 859
Web of Science type
Article
Web of Science id
000300102700005
JCR category
AGRICULTURE, MULTIDISCIPLINARY
JCR impact factor
1.549 (2011)
JCR rank
8/57 (2011)
JCR quartile
1 (2011)
ISSN
1385-2256
DOI
10.1007/s11119-011-9226-5
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
1976740
handle
http://hdl.handle.net/1854/LU-1976740
date created
2012-01-03 11:13:22
date last changed
2012-10-05 11:00:08
@article{1976740,
  abstract     = {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 2.7 ha located in the Brahmaputra floodplain of Bangladesh. The high-resolution (1 x 1 m) 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 (0.15-0.30 m 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.},
  author       = {Islam, Mohammad Monirul and Cockx, Liesbet and Meerschman, Eef and De Smedt, Philippe and Meeuws, Fun and Van Meirvenne, Marc},
  issn         = {1385-2256},
  journal      = {PRECISION AGRICULTURE},
  keyword      = {Paddy,Bangladesh,Flooded soil,Apparent electrical conductivity,EM38,ELECTROMAGNETIC INDUCTION,WATER CONTENT},
  language     = {eng},
  number       = {6},
  pages        = {850--859},
  title        = {A floating sensing system to evaluate soil and crop variability within flooded paddy rice fields},
  url          = {http://dx.doi.org/10.1007/s11119-011-9226-5},
  volume       = {12},
  year         = {2011},
}

Chicago
Islam, Mohammad Monirul, Liesbet Cockx, Eef Meerschman, Philippe De Smedt, Fun Meeuws, and Marc Van Meirvenne. 2011. “A Floating Sensing System to Evaluate Soil and Crop Variability Within Flooded Paddy Rice Fields.” Precision Agriculture 12 (6): 850–859.
APA
Islam, M. M., Cockx, L., Meerschman, E., De Smedt, P., Meeuws, F., & Van Meirvenne, M. (2011). A floating sensing system to evaluate soil and crop variability within flooded paddy rice fields. PRECISION AGRICULTURE, 12(6), 850–859.
Vancouver
1.
Islam MM, Cockx L, Meerschman E, De Smedt P, Meeuws F, Van Meirvenne M. A floating sensing system to evaluate soil and crop variability within flooded paddy rice fields. PRECISION AGRICULTURE. 2011;12(6):850–9.
MLA
Islam, Mohammad Monirul, Liesbet Cockx, Eef Meerschman, et al. “A Floating Sensing System to Evaluate Soil and Crop Variability Within Flooded Paddy Rice Fields.” PRECISION AGRICULTURE 12.6 (2011): 850–859. Print.