Sub-paddock scale spatial variability between the pasture and cropping phases of mixed farming systems in Australia

P. McEntee; R. Belford; R. Mandel; J. Harper; M. Trotter

Sub-paddock scale spatial variability between the pasture and cropping phases of mixed farming systems in Australia

In: Precision agriculture '13

Authors:

P. McEntee

P. McEntee ¹Curtin University, Perth, Western Australia; peter.mcentee@postgrad.curtin.edu.au

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R. Belford

R. Belford ¹Curtin University, Perth, Western Australia; peter.mcentee@postgrad.curtin.edu.au

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R. Mandel

R. Mandel ¹Curtin University, Perth, Western Australia; peter.mcentee@postgrad.curtin.edu.au

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J. Harper

J. Harper ²Charles Sturt University, Wagga Wagga NSW, Australia

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, and

M. Trotter

M. Trotter ³University of New England, Armidale NSW, Australia

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Type:: Chapter

Pages:: 389–394

DOI:: https://doi.org/10.3920/9789086867783_049

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Precision farming techniques are now widely applied within Australian cropping systems. However, the use of spatial monitoring technologies to investigate livestock and pasture interactions in mixed farming systems remains largely unexplored. This paper builds on previously reported work that is using remote sensing technologies to investigate livestock and pasture interactions in the pasture phase and to follow the after-effects of different management strategies into a subsequent cropping phase. Experimental data has been gathered from two dryland cropping sites, one in Western Australia (annual pasture system) and one in north-eastern Victoria (perennial pasture system). Smoothed time series of weekly NDVI composites were constructed by means of the adaptive Savitzky-Golay filter. Eight complete phenological cycles (2004-2011) were processed and eleven phenology metrics were calculated for each cycle. The analysis reinforces previous results that indicated spatial variation in biomass between pasture and cropping phases is consistent and correlated over time. In the annual pasture system, two metrics showed strong correlation between cropping and pasture phases – end of season biomass and peak NDVI. In the perennial pasture system, strong correlations were observed for seven metrics – end of season biomass, time of season onset, end of season, season duration, peak NDVI, season amplitude and rate of NDVI decrease.

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Precision agriculture '13

E-Book ISBN:: 9789086867783

Publisher:: Wageningen Academic

Print Publication Date:: 01 Nov 2013

Subjects
- Life Sciences
  - General
  - Agriculture & Environment

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Sub-paddock scale spatial variability between the pasture and cropping phases of mixed farming systems in Australia

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Precision agriculture '13

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