Facilitating Digital Agriculture with Simple Databases
arXiv (Cornell University)(2023)
摘要
As an on-ramp to databases, we offer several well-structured private database templates as open source resources for agriculturalists, particularly those with modest spreadsheet skills. These farmer-oriented Air table databases use simple data-validated forms, with the look and feel of a customized app, to yield operational data that is tidy, machine- and human-readable, editable, and exportable for analysis in other software. Such data can facilitate logistics, provide contextual metadata, and improve enterprise analysis. A recorded workshop explaining how to build a database for activity records is presented. These resources may facilitate infusion of digital agriculture principles through Extension and structured educational programming.
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