See the potato varieties dataset in the FTP fileserver: /share/datasets/europotato (see README inside for sources and some usage notes) This dataset contains 5600+ strains and varieties, with many many features like taste, color, texture and country of origin.
The resistance of some potata species changes over time (e.g. charlottes are no more resistance to mildiou), it implies some kind of data obscolescence. Due to different data sources, a single specy can have many different and contradictive attributes (poor taste and excellent in the same time; also rare and high frequency rate) - some of them can be explained according to various geographical source For some attributes there are more non-available values than attribute values, n/a proportion is huge --> big shadow area of datas, is this representative?
potato focus-categories: (1) as a starting point (from which to leave & never return); ex? creating tool that can draw the potato that we've never seen based on the data (startingpoint) (2) a means/method to discuss other topics (analogy); and ex. - potatos are a variable or factor in the larger world (3) an end unto itself. ex,? all potatos vs 1 potato ex, - genome sequence, yields, satellite imagery prediction, economics, nomenclatura ex what would the heart potato look like?