SYSTEMS AND METHODS FOR PREDICTING REGIONAL TURFGRASS PERFORMANCE

摘要

Grass seed performance may be predicted by receiving grass seed selections for individual grass seed varieties and target geographic regions for growing the grass seed selection. A common set of grass attributes is identified from historical grass attribute values associated with the selected target regions. The historical grass attribute values in the first common set of grass attributes are retrieved and are displayed in a graphical format for the at least two individual grass seed varieties in the at least two selected target regions. A weighted average may be calculated for the historical grass attribute values in the common set and may provide a prediction of performance of the individual grass seed varieties across the selected geographic regions or in regions proximate the selected geographic regions.

主权项

1. A computer-implemented method for predicting performance of grass seed varieties, the method comprising:
using a computer database to store a set of historical grass performance data for each of a plurality of individual grass seed varieties, the sets of historical grass performance data each comprising at least an identity of the individual grass seed variety, a geographic region in which the grass seed variety was grown, a historical growing year, grass attributes and grass attribute rankings, wherein a number of grass attributes or the grass attribute rankings differ among the sets; and using a computer processor to:
receive a selection of a plurality of individual grass seed varieties;identify, from the stored data, a common set of grass attributes and corresponding grass attribute rankings in a plurality of geographic regions for the plurality of individual grass seed varieties selected; anddisplay the common set of historical grass attribute rankings for the selected individual grass seed varieties in the plurality of geographic regions in which the grass seeds were grown as a prediction of performance of the individual grass seed varieties.