Systems and methods for predicting regional turfgrass performance
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.
1. A computer-implemented method for predicting performance of seed varieties, the method comprising:
using a computer database to store a set of historical performance data for each of a plurality of individual seed varieties, the sets of historical performance data each comprising at least an identity of the individual seed variety, a historical growing year, attributes of the seed varieties and attribute values of the seed varieties; and
using a computer processor to:
receive a selection of a plurality of individual seed varieties;
receive a themed selection, the themed selection representing a group of attributes having commonalities;
identify a common set of attributes from the themed selection using the selected plurality of individual seed varieties;
calculate a weighted average for each attribute value for the selected individual seed varieties; and
display on a visual interface representations of attribute values for the common set of attributes as identified from the stored data for the selection of the plurality of individual seed varieties as a prediction of performance of the individual seed varieties, wherein the representations include a comparison of the common set of attributes for the selected individual seed varieties, and wherein the representations include the weighted average of each historical attribute value.
2. The method of claim 1 , wherein the themed selection is a disease pressure theme.
3. The method of claim 1 , wherein a number of attributes or the attribute values differ among the sets of historical performance data.
4. The method of claim 1 , wherein the selections of the plurality of individual seed varieties is by historical growing year, and wherein the processor is used to identify the common set of historical attributes for the historical growing year.
5. The method of claim 1 , wherein the attributes comprise National Turf Evaluation Program (NTEP) attributes.
6. A computer-implemented method for predicting performance of seed varieties, the method comprising:
using a computer database to store a set of historical performance data for each of a plurality of individual seed varieties, the sets of historical performance data each comprising at least an identity of the individual seed variety, a historical growing year, attributes of the seed varieties and attribute values of the seed varieties; and
using a computer processor to:
receive a selection of a plurality of individual seed varieties;
receive a themed selection, the themed selection representing a group of attributes having commonalities;
identify a common set of attributes from the themed selection using the selected plurality of individual seed varieties;
calculate a ranking for each attribute value for the selected individual seed varieties; and
display on a visual interface representations of attribute values for the common set of attributes as identified from the stored data for the selection of the plurality of individual seed varieties as a prediction of performance of the individual seed varieties, wherein the representations include a comparison of the common set of attributes for the selected individual seed varieties, and wherein the representations includes the ranking of each historical attribute value.
7. The method of claim 6 , wherein the themed selection is a disease pressure theme.
8. The method of claim 6 , wherein a number of attributes or the attribute values differ among the sets of historical performance data.
9. The method of claim 6 , wherein the selections of the plurality of individual seed varieties is by historical growing year, and wherein the processor is used to identify the common set of historical attributes for the historical growing year.
10. The method of claim 6 , wherein the attributes comprise National Turf Evaluation Program (NTEP) attributes.
11. A computer-implemented method for predicting performance of individual seed varieties across geographic regions, the method comprising:
using a computer database to store a set of historical performance data for each of a plurality of individual seed varieties, the sets of historical performance data each comprising at least an identity of the individual seed variety, a geographic region in which the grass seed variety was grown, a historical growing year, attributes, and attribute values, wherein a number of attributes or the attribute values differ among the sets; and
using a computer processor to:
receive a plurality of selections comprising at least two individual seed varieties and one or more attributes of the seed variety,
wherein the one or more attributes of the seed variety comprises aggressiveness, brown patch, cold tolerance, color, compaction tolerance, dollar spot, drought tolerance, early spring green up, endophyte/insect resistance, fast establishment, height/moving frequency, insect tolerance, leaf spot, leaf texture, low maintenance, low mowing height, mountain west quality, mowing quality, necrotic ring spot, Pacific Northwest quality, quality ratings, red thread, rhizomatous, crown and stem rust, salt tolerance, shade tolerance, shade/powdery mildew, sod-shear strength, summer patch, summer stress, or wear tolerance;
calculate a weighted average for each attribute value for the selected individual seed varieties; and
display a visual interface that includes representations of attribute values for a common set of attributes for the attribute values identified for the at least two individual seed varieties as a prediction of performance of the individual seed, and wherein the representations includes a weighted average for the at least two selected individual seed varieties, wherein the representations include an arrangement of the common set of attributes and corresponding attribute values for the individual seed varieties by each individual attribute of the common set of historical attributes.
12. The method of claim 11 , wherein the selections further comprise selections by historical growing year, and wherein the processor is used to identify the common set of historical attributes for the historical growing year.
13. The method of claim 11 , wherein the attributes stored using the computer database comprise National Turf Evaluation Program (NTEP) attributes.
14. The method of claim 11 , further comprising using the computer processor to:
receive a themed selection, the themed selection representing a group of attributes having commonalities; and
identify the common set of attributes from the themed selection.