Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/13369
Title: On-the-go forecasting of crop reflectance indices for controlling aerial prescription applications
Contributor(s): Falzon, Gregory (author)orcid ; Lamb, David (author); Schneider, Derek (author)
Publication Date: 2011
Handle Link: https://hdl.handle.net/1959.11/13369
Abstract: Whole-paddock, fertiliser prescription maps derived from high spatial-frequency variations in canopy reflectance data requires spatial statistical procedures such as kriging which, in turn requires the complete 2-0 dataset. Recent successful trials of active crop reflectance sensors in low-level aircraft provide a realistic opportunity for real time sensing and control of fertiliser application rates at a single pass. However in-flight sensing and actuation requires a predictive map of crop reflectance variability, preferentially in zones, that can be created from a 1-dimensional data stream. Forecasting the required prescription zones ahead of the aircraft avoids actuation delays and mechanical loading on components associated with responding to high spatial frequency noise. A dynamic aerial survey algorithm (OAS) has been devised that utilises each transect flown to create a full-field predictive map. OAS uses a radial, basis function, kernel - support, vector machine regressor, which progressively updates its field estimate using the cumulative data from all previous transects. A fixed-cut, contouring algorithm then segments this current prediction into a predefined number of zones (prescriptions). A recent field trial comparing a full field NDVI map with the successive prediction maps from an aircraft demonstrates the error in the forecast map reduces linearly with increasing transect number.
Publication Type: Conference Publication
Conference Name: Society for Engineering in Agriculture (SEAg) Conference: Diverse Challenges, Innovative Solutions, Surfers Paradise, Australia, 28th - 30th September, 2011
Source of Publication: Book of Abstracts of the Biennial Conference of the Australian Society for Engineering in Agriculture (SEAg), p. 52-52
Publisher: Australian Society for Engineering in Agriculture
Place of Publication: Barton, Australia
Field of Research (FOR): 070104 Agricultural Spatial Analysis and Modelling
079902 Fertilisers and Agrochemicals (incl Application)
HERDC Category Description: E3 Extract of Scholarly Conference Publication
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