B.FLT.4021 - Feedlot Heat Load Forecasting Service Final Report
A next generation heat load monitoring tool and service for Australian lot feeders has been developed by mistEO Pty. Ltd.
| Project start date: | 14 July 2022 |
| Project end date: | 14 November 2027 |
| Publication date: | 06 September 2023 |
| Project status: | Terminated |
| Livestock species: | Grain-fed Cattle |
| Relevant regions: | National |
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Download Report
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Summary
This project developed a next generation heat load forecasting service for the Australian lot feeding industry. The tool is named the Climate Decision Intelligence Platform by mistEO. The tool provides advanced seven-day weather forecasting, daily and weekly alerting for heat load events, and other management tools for climate events.
Objectives
1) Develop a new feedlot heat load forecast service web interface including user registration portal, GPS coordinate nomination, heat load threshold calculator, historical risk documentation,
and MLA heat load management publications.
2) Develop a forecast service that incorporates the most accurate weather forecast service considering WRF and ADFD forecast data, and other feasible sources.
3) Develop a daily heat load forecast service (seven-day horizon) for up to 500 NFAS accredited feedlots utilising the HLI and AHLU algorithms (Gaughan et al. 2008) as part of (1).
4) Annual communications and service support program.
5) Annual milestone report to MLA.
Key findings
The project has developed a new heat load forecasting service for the Australian lot feeding industry. The performance of the forecasts has been assessed against the observations taken from 14 benchmark locations in different territories. Following the benchmark comparison it was observed that the accuracy of the system is in line with agreed expectations of the underlying prediction algorithms that underpin HLI and AHLU prediction.
Benefits to industry
The new service is commercially available to the Australian lot feeding industry with precision and accuracy in line with expectations for the performance of the underlying algorithms for HLI and AHLU developed by Gaughan et al. 2008.
MLA action
MLA will seek to support the Australian lot feeding industry with implementation of the industry developed R&D strategy, of which heat load forecasting is a major focus.
Future research
Future research will be focused on development of the next generation of extreme weather forecasting systems for the Australian lot feeding industry in line with the advancements in sensor and modelling techniques that have become available.
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For more information Contact Project Manager: Matt Van der Saag |
