ML Project D: Extracting value from crop/soil variability mapping
Tender ID: 386519
Tender Details
Tender Description
This procurement is part of a tender consisting of seven interrelated procurements. Applicants may apply for Project A alone, any combination of Projects B-G, or all Projects B-G.
For full details, including links to relevant documents and information on any Questions and Answers, visit:
https://grdc.com.au/research/applying-and-reporting/current-procurement/open-tenders
There is an opportunity to provide growers with enhanced, machine learning (ML)-driven, insights from crop and soil constraint data. A wealth of field-mapped data layers is becoming available: yield, multispectral, topographic, electromagnetic, electroconductive, and weather. Whilst commercial mapping analytics are available, ML models could be developed that are better-able to account for spatial variability.
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