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here at rsi were on a mission to develop a data pipeline that turns many sparse sources of complex data into directly useful information covering the whole path from the field to prediction outputs data source the journey begins when a real world object such as a piece of produce is selected for evaluation we gather information about this object from several sources the farmers themselves our labs and even external data sources like climate apis survey stack data entry instruments we compile this data using survey stack a powerful survey design tool that allows us to design specific input instruments for each need some of our projects merge as many as 10 surveys to get a full profile of each sample as a data point travels through our system we continually check the quality of the gathered information using qa dashboards information then gets stored in a database and can be easily accessed through an automated query generator this simplifies both insulating private data and sharing or
