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Organizing Historical Agricultural Data And Identifying Data Integrity Zones To Assess Agricultural Data Quality, Elizabeth Marie Hawkins

Open Access Dissertations

As precision agriculture transitions into decision agriculture, data driven decision- making has become the focus of the industry and data quality will be increasingly important. Traditionally, yield data cleaning techniques have removed individual data points based on criteria primarily focused on the yield values. However, when these methods are used, the underlying causes of the errors are often overlooked and as a result, these techniques may fail to remove all of the inaccurate data or remove “good” data. As part of this research, an alternative to data cleaning was developed. Data integrity zones (DIZ) within each field were identified by …