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Grant Award View - GA7249-V3
Big data modelling to forecast crop yield to enable precision...
GA ID:
GA7249-V3
Agency:
Australian Research Council
Approval Date:
15-Jun-2018
Variation Publish Date:
9-Jul-2019
Variation Date:
26-Jul-2019
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
26-Jul-2019 to 25-Jul-2022
Value (AUD):
$374,000.00
(GST inclusive where applicable)
Varies:
GA7249
- Big data modelling to forecast crop yield to enable precision fertilisation
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 17/18 Linkage
Grant Program:
Linkage Projects
Grant Activity:
Big data modelling to forecast crop yield to enable precision fertilisation
Purpose:
This project aims to lay a foundation for a generic data-driven approach to more precise management of our agricultural landscapes. A multitude of agriculture-related data streams are now available to growers to characterise their yield, management, soil and weather. However, currently there is no approach able to digest all these disparate data streams to enable a management decision. The project will develop an approach to harness all of these data streams to guide spatially variable applications of nitrogen fertilisers with a focus on grains cropping. This should provide the opportunity to allocate fertiliser inputs as required at fine spatial scales according to local soil and weather conditions to maximise profit and minimise off-farm impacts of excessive fertilisation.
GO ID:
GO Title:
Linkage Projects commencing in 2017
Internal Reference ID:
LP17 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
The University of Sydney
Recipient ABN:
15 211 513 464
Grant Recipient Location
Suburb:
FOREST LODGE
Town/City:
FOREST LODGE
Postcode:
2037
State/Territory:
NSW
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
NSW
Postcode:
2037
Country:
AUSTRALIA