ITALLIC: A tool for identifying and correcting errors in location based plant breeding data

Getiria Onsongo, Samantha Fritsche, Thy Nguyen, Ayoub Belemlih,Jeffery Thompson,Kevin A.T. Silverstein

Computers and Electronics in Agriculture（2022）

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摘要

•Big data technologies offer great promise in data-driven plant breeding.•Disparate sources of data need to be integrated to realize this promise.•Errors in location data present challenges in integrating plant breeding data.•ITALLIC detects and corrects errors in location-based plant breeding data.

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关键词

Data driven plant breeding,Automated data cleaning,Data visualization,Location data

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