Openly accessible

Wireless sensor networks for in-situ image validation for water and nutrient management

Devadas, R., Jones, S. D., Fitzgerald, G. J., McCauley, I., Matthews, B. A., Perry, E. M., Watt, Michelle, Ferwerda, J. G. and Kouzani, A. Z. 2010, Wireless sensor networks for in-situ image validation for water and nutrient management, in ISPRS 2010 : Proceedings of ISPRS Technical Commission VII Symposium, Institute of Photogrammetry and Remote Sensing, Vienna University of Technology, [Amsterdam, The Netherlands], pp. 187-192.

Attached Files
Name Description MIMEType Size Downloads
kouzani-wirelesssensor-2010.pdf Published version application/pdf 778.97KB 15

Title Wireless sensor networks for in-situ image validation for water and nutrient management
Author(s) Devadas, R.
Jones, S. D.
Fitzgerald, G. J.
McCauley, I.
Matthews, B. A.
Perry, E. M.
Watt, Michelle
Ferwerda, J. G.
Kouzani, A. Z.
Conference name ISPRS Technical Commission VII Symposium (2010 : Vienna, Austria)
Conference location Vienna, Austria
Conference dates 5–7 July 2010
Title of proceedings ISPRS 2010 : Proceedings of ISPRS Technical Commission VII Symposium
Editor(s) Wagner, W.
Székely, B.
Publication date 2010
Conference series ISPRS Technical Commission Symposium
Start page 187
End page 192
Publisher Institute of Photogrammetry and Remote Sensing, Vienna University of Technology
Place of publication [Amsterdam, The Netherlands]
Keyword(s) remote sensing
wireless sensor network
precision agriculture
nitrogen
hyperspectral
validation
Summary Water and Nitrogen (N) are critical inputs for crop production. Remote sensing data collected from multiple scales, including ground-based, aerial, and satellite, can be used for the formulation of an efficient and cost effective algorithm for the detection of N and water stress. Formulation and validation of such techniques require continuous acquisition of ground based spectral data over the canopy enabling field measurements to coincide exactly with aerial and satellite observations. In this context, a wireless sensor in situ network was developed and this paper describes the results of the first phase of the experiment along with the details of sensor development and instrumentation set up. The sensor network was established based on different spatial sampling strategies and each sensor collected spectral data in seven narrow wavebands (470, 550, 670, 700, 720, 750, 790 nm) critical for monitoring crop growth. Spectral measurements recorded at required intervals (up to 30 seconds) were relayed through a multi-hop wireless network to a base computer at the field site. These data were then accessed by the remote sensing centre computing system through broad band internet. Comparison of the data from the WSN and an industry standard ground based hyperspectral radiometer indicated that there were no significant differences in the spectral measurements for all the wavebands except for 790nm. Combining sensor and wireless technologies provides a robust means of aerial and satellite data calibration and an enhanced understanding of issues of variations in the scale for the effective water and nutrient management in wheat.
ISSN 1682-1777
Language eng
Field of Research 090605 Photodetectors, Optical Sensors and Solar Cells
100101 Agricultural Biotechnology Diagnostics (incl Biosensors)
Socio Economic Objective 861503 Scientific Instruments
HERDC Research category E2 Full written paper - non-refereed / Abstract reviewed
ERA Research output type E Conference publication
HERDC collection year 2010
Copyright notice ©2010, ISPRS
Persistent URL http://hdl.handle.net/10536/DRO/DU:30030627

Document type: Conference Paper
Collections: School of Engineering
Open Access Collection
Connect to link resolver
 
Link to Related Work
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.

Versions
Version Filter Type
Access Statistics: 395 Abstract Views, 19 File Downloads  -  Detailed Statistics
Created: Fri, 15 Oct 2010, 14:16:09 EST by Abbas Kouzani

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.