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New South Wales DPI
| Researcher(s) |
Mathew Dunn Josh Hart Priyakant Sinha |
|---|---|
| Contact email | mathew.dunn@dpi.nsw.gov.au |
| Year(s) | 2021 |
| Contributor | Department of Primary Industries NSW |
| Trial location(s) |
Wagga Wagga, ACT
Yanco, NSW |
| Further information | View external link |
Improving canola harvest management decisions with remote sensing
• Using advanced predictive modelling approaches, we have successfully used both satellite and drone-based multispectral imagery to predict canola maturity parameters to a high degree of accuracy (seed colour change, root mean squared error – RMSE of <10%).
• Simple normalised difference vegetation index (NDVI) based regression modelling was unable to account for location- and variety-induced variation resulting in significantly higher prediction errors than when using more advanced predictive modelling approaches.
• Significant potential exists for using this technology in a canola windrow-timing decision support tool that would overcome the many challenges of current industry practice. However, additional investigation is required to validate the performance of this technology application across multiple seasons and further progress modelling approaches.
| Lead research organisation |
Department of Primary Industries NSW |
|---|---|
| Host research organisation | N/A |
| Trial funding source | GRDC BLG123 |
| Trial funding source | New South Wales DPI DPI2108-006BLX |
| Related program | N/A |
| Acknowledgments |
This experiment was part of the ‘Improving canola harvest management decisions with remote sensing’ project, BLG123, March 2021 to February 2022, a joint investment by GRDC and NSW DPI under the Grains Agronomy and Pathology Partnership (GAPP). |
| Other trial partners | Not specified |
| Crop type | Oilseed: Canola |
|---|---|
| Treatment type(s) |
|
| Trial type | Experimental |
| Trial design | Replicated |
| Sow date | 15 April 2021 |
|---|---|
| Harvest date | Unknown |
| Plot size | Not specified |
| Plot replication | Not specified |
| Other trial notes |
This research paper is an extract from the publication Southern NSW Research Results 2022, available at |
| Sow date | 19 April 2021 |
|---|---|
| Harvest date | Unknown |
| Plot size | Not specified |
| Plot replication | Not specified |
| Other trial notes |
This research paper is an extract from the publication Southern NSW Research Results 2022, available at |
SILO weather estimates sourced from https://www.longpaddock.qld.gov.au/silo/
Jeffrey, S.J., Carter, J.O., Moodie, K.B. and Beswick, A.R. (2001). Using spatial interpolation to
construct a comprehensive archive of Australian climate data , Environmental Modelling and Software, Vol
16/4, pp 309-330. DOI: 10.1016/S1364-8152(01)00008-1.
