Conference paper
Modifying agro-economic models to predict effects of spatially varying nitrogen on wheat yields for a farm in Western Australia
14th International Conference on Precision Agriculture (Montreal, Quebec, 24/06/2018–27/06/2018)
2018
Abstract
Agricultural research in broadacre farming in Western Australiahas a strong history, resulting in a significant public resource of knowledge about biophysical processes affecting crop performance. However, translation of this knowledge into improved on-farm decision making remains a challenge to the industry.Online and mobile decision support tools to assist tactical farm management decisions are not widely adopted, for reasons including: (1) they take too much time and training to learn; and (2) they aren’t integrated with the data they need or with each other, making their use too time-consuming.
Meanwhile, as farmers accumulate more data from their machinery, they find themselves unable to use that data to inform decision making.In an ideal future, variable rate technology (VRT) could be programmed to apply optimal rates of fertilisers. However, the existing suite of models and tools are derived from small-scale controlled field experiments and are not suitable forfine-scale paddock management.
Using 14 years of data from a farm in the eastern wheatbelt of Western Australia, we investigate the calibration and extension of an agro-economic modelfor spatial prediction of the effects of nitrogen applicationson wheat yield and gross return.We use a simple response curve model, NP-Decide,that was developed in Western Australiaand remains in common use.
Details
- Title
- Modifying agro-economic models to predict effects of spatially varying nitrogen on wheat yields for a farm in Western Australia
- Authors/Creators
- F.H. Evans (Author/Creator)J. Andrew (Author/Creator)C. Scanlan (Author/Creator)S. Cook (Author/Creator)
- Conference
- 14th International Conference on Precision Agriculture (Montreal, Quebec, 24/06/2018–27/06/2018)
- Identifiers
- 991005543185507891
- Murdoch Affiliation
- Centre for Digital Agriculture
- Language
- English
- Resource Type
- Conference paper
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