Determine crop data structure

[paulmis]

Provide a structure for the crop data that is relevant for the insight calculation:

• Do literature review for relevant crop parameters
• Create a database schema for crops
• Populate the database with two example crops

[paulmis]

From my research, I would divide the crop data structure into 3 sections;

• metadata - basic data about the crop (name, creation/review/update date, description, app statistics)
• agricultural metrics - widely used properties (ideal pH, rainfall range, plant time)
• indicators normals - accepted ranges for various indicators (e.g. harvest time vs NDVI range)
  Note that a lot of these are region-dependent.

Furthermore, while the metadata is general to a crop, the latter two sections depend on the hybrid, and I would specify them for each hybrid. As there can be a myriad of hybrids and their subtypes, I would also include a default hybrid that is either manually set, or an average of all hybrids.

See the brainstorm board here.