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.
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.
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
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