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University of Adelaide National Sodic field trial reference dataset for GRDC Machine Learning Project- UOA2002-007RTX.
Version 2 2024-02-20, 05:10
Version 1 2022-02-28, 01:21
dataset
posted on 2024-02-20, 05:10 authored by Rakesh DavidRakesh David, Rhiannon SchillingRhiannon SchillingThe collection includes raw and processed data for machine learning compliance. Includes data from the National Sodic Field Trials - 16 wheat varieties grown at two sites with sodic subsoils - Mallala and Roseworthy (368 plots), spanning 2017-2019. Raw data available as excel includes soil cores information, grain yield, biomass, plant physiology, tolerance sensitive traits, genetic markers. In addition to the raw data the collection includes pre-processed versions of the dataset compliant with machine learning analytics.
Funding
GRDC UOA2002-007RTX
History
GRDC contract code
UOA2002-007RTXGRDC project title
Machine learning to extract maximum value from soil and crop variabilityContact email address
library@adelaide.edu.auStart date for this data collection
2017-01-01End date for this data collection
2019-12-31Spatial coverage
Mallala and Roseworthy, South AustraliaAccess rights type
- Restricted
