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Application of a Wireless Sensor Network for Multi-Depth Soil Moisture Monitoring at Farm Scale in New Zealand’s Hill Country

Published online by Cambridge University Press:  01 June 2017

I. Hajdu*
Affiliation:
New Zealand Centre for Precision Agriculture, Massey University, Private Bag 11222, Palmerston North, New Zealand
I. Yule
Affiliation:
New Zealand Centre for Precision Agriculture, Massey University, Private Bag 11222, Palmerston North, New Zealand
*
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Abstract

Hill country farms play a critical role in the New Zealand’s economy and precision agriculture solutions have been increasingly utilised to improve their profitability and resilience. Soil moisture, a spatially and temporally variable factor in pasture productivity, was monitored using Wireless Sensor Networks (WSN) technology deployed over a hill country farm in the North Island. Geographical Information System assisted spatial methodologies were applied to design a WSN-topography. The integration of spatially distributed sensors and multi-depth soil moisture measurements from various hillslope positions showed that root zone soil moisture was more homogenous as the mean soil moisture increased. Considerable differences were found in soil water profile response to significant rainfall events on steep, rolling and flat surfaces allowing us to construct a clearer picture of the topographical controls on the variability of soil moisture.

Type
Soil Sensing and Variability
Copyright
© The Animal Consortium 2017 

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References

Aquacheck, PL 2008. AquaCheck probe instruction manual.Google Scholar
Basher, LR, Botha, N, Dodd, MB, Douglas, GB, Lynn, I, Marden, M, Mclvor, IR and Smith, W 2008. Hill country erosion: a review of knowledge on erosion processes, mitigation options, social learning and their long-term effectiveness in the management of hill country erosion. Landcare Research Contract Report: LC0708/081.Google Scholar
Bircham, JS and Gillingham, AG 1986. A soil water balance model for sloping land. New Zealand Journal of Agricultural Research 29 (2), 315323.CrossRefGoogle Scholar
Bogena, HR, Herbst, M, Huisman, JA, Rosenbaum, U, Weuthen, A and Vereecken, H 2010. Potential of Wireless Sensor Networks for Measuring Soil Water Content Variability Vadose Zone Journal 9 (4), 10021013.Google Scholar
Booth, AK and Gibbs, MS 1969. Soils and Farming Patterns in the Wairarapa. Proceedings of the New Zealand Grassland Association 31, 9–18.CrossRefGoogle Scholar
Bretherton, M, Scotter, DR, Horne, DJ and Hedley, MJ 2011. Water Uptake by Hill Country Pasture - More than You think, Fertilizer and Lime Research Centre, Massey University, New Zealand.Google Scholar
Cameron, D 2016. Sustaining the productivity of New Zealand’s hill country – A land manager’s view. Hill Country – Grassland Research and Practice Series 16, 151156.CrossRefGoogle Scholar
De Floriani, L and Magillo, P 1999. Intervisibility on terrains. Geographic Information Systems: Principles, Techniques, Managament and Applications 543556.Google Scholar
Fisher, PF and Tate, NJ 2006. Causes and consequences of error in digital elevation models. Progress in Physical Geography 30 (4), 467489.Google Scholar
Hillel, D 1998. Environmental Soil Physics. Academic Press, San Diego, CA.Google Scholar
Jenness, J 2006. Topographic Position Index (tpi_jen.avx) extension for ArcView 3.x, Jennes Enterprises.Google Scholar
Korres, W, Reichenau, TG, Fiener, P, Koyama, CN, Bogena, HR, Cornelissen, T, Baatz, R, Herbst, M, Diekkrüger, B, Vereecken, H and Schneider, K 2015. Spatio-temporal soil moisture patterns – A meta-analysis using plot to catchment scale data. Journal of Hydrology 520, 326341.Google Scholar
Land Information New Zealand, L. ‘This work is based on/includes LINZ’s data which are licensed by Land Information New Zealand (LINZ) for re-use under the Creative Commons Attribution 4.0 International licence (link is external)’.Google Scholar
Landvision Ltd. 2009. Pati Tapu Station Whole Farm Plan, Horizons Regional Council, Palmerston North, New Zealand.Google Scholar
Lang, S 2015. Future challenges and opportunities for hill country farming on the East Coast, Lincoln University, New Zealand.Google Scholar
Lynn, I, Manderson, A, Page, M, Harmsworth, G, Eyles, G, Douglas, G, Mackay, A and Newsome, P 2009. Land Use Capability Survey Handbook–a New Zealand handbook for the classification of land. Hamilton. AgResearch, New Zealand.Google Scholar
Moore, ID, Grayson, RB and Ladson, AR 1991. Digital terrain modelling: A review of hydrological, geomorphological, and biological applications. Hydrological Processes 5 (1), 330.CrossRefGoogle Scholar
NIWA CliFlo database 1970-2010. Climate Database (CliFlo).Google Scholar
Nolz, R 2013. Performance assessment of selected devices for monitoring soil water balance components with respect to agricultural water management. University of Natural Resources and Life Sciences 191.Google Scholar
Pike, RJ 2000. Geomorphometry-diversity in quantitative surface analysis. Progress in Physical Geography 24 (1), 120.Google Scholar
Rawat, P, Singh, KD, Chaouchi, H and Bonnin, JM 2014. Wireless sensor networks: a survey on recent developments and potential synergies. The Journal of Supercomputing 68 (1), 148.Google Scholar
Roberts, AHC and White, MD 2016. From there to where? Past, present and future soil fertility management on hill country farms. Hill Country – Grassland Research and Practice Series 16, 127–136.CrossRefGoogle Scholar
Smith, KA 2000. Soil and environmental analysis: physical methods, Revised, and Expanded. CRC Press, Marcel Dekker, NY, USA.CrossRefGoogle Scholar
Statistics New Zealand 2015. Agricultural Production Statistics: June 2015 (final). Statistics New Zealand.Google Scholar
Woodward, SJR, Barker, DJ and Zyskowski, RF 2001. A practical model for predicting soil water deficit in New Zealand pastures. New Zealand Journal of Agricultural Research 44 (1), 91109.CrossRefGoogle Scholar