University of Adelaide National Sodic field trial reference dataset for GRDC Machine Learning Project- UOA2002-007RTX.

The 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.UA and External funding agency data collection. Please contact Rhiannon Schilling (PIRSA-SARDI) [e-mail] to request access to data

本数据集收录用于机器学习合规研究的原始与处理后数据。数据源自国家苏打盐碱土田间试验（National Sodic Field Trials）：在Mallala与Roseworthy两个设有苏打亚黏土层的试验点，种植了16个小麦品种，共设置368个试验小区，试验周期覆盖2017至2019年。原始数据以Excel格式存储，包含土壤柱（soil cores）信息、籽粒产量、生物量、植物生理学指标、耐逆敏感性状及遗传标记数据。除原始数据外，本数据集还提供符合机器学习分析规范的预处理版本数据集。本数据集由UA及外部资助机构资助采集。如需申请数据访问权限，请联系Rhiannon Schilling（PIRSA-SARDI），邮箱：[e-mail]。