Systems and methods for predicting regional turfgrass performance
First Claim
1. A computer-implemented method for predicting performance of grass seed varieties within geographic regions, the method comprising:
- using a computer database to store a set of grass attributes and historical grass attribute values for a plurality of individual grass seed varieties, wherein a number and a type of historical grass attribute values from the set of grass attributes differs among the plurality of individual grass seed varieties, wherein for the individual grass seed varieties, the historical grass attribute values include a geographic region in which the grass seeds were grown, and wherein the historical grass attribute values for the plurality of individual grass seed varieties are associated with a plurality of geographic regions;
using a computer processor to;
receive a grass seed selection of at least two individual grass seed varieties and at least two target geographic regions for growing the grass seed selection;
identify a common set of grass attributes from the historical grass attribute values for the selected target regions from the differing number and type of historical grass attributes stored in the database;
retrieve the historical grass attribute values in the common set of grass attributes; and
display the common set of retrieved historical grass attribute values in a graphical format for the at least two individual grass seed varieties in the at least two selected target regions as a prediction of performance of the individual grass seed varieties within the individual regions.
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Abstract
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.
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Citations
18 Claims
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1. A computer-implemented method for predicting performance of grass seed varieties within geographic regions, the method comprising:
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using a computer database to store a set of grass attributes and historical grass attribute values for a plurality of individual grass seed varieties, wherein a number and a type of historical grass attribute values from the set of grass attributes differs among the plurality of individual grass seed varieties, wherein for the individual grass seed varieties, the historical grass attribute values include a geographic region in which the grass seeds were grown, and wherein the historical grass attribute values for the plurality of individual grass seed varieties are associated with a plurality of geographic regions; using a computer processor to; receive a grass seed selection of at least two individual grass seed varieties and at least two target geographic regions for growing the grass seed selection; identify a common set of grass attributes from the historical grass attribute values for the selected target regions from the differing number and type of historical grass attributes stored in the database; retrieve the historical grass attribute values in the common set of grass attributes; and display the common set of retrieved historical grass attribute values in a graphical format for the at least two individual grass seed varieties in the at least two selected target regions as a prediction of performance of the individual grass seed varieties within the individual regions. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A computer-implemented method for predicting performance of individual seed varieties across geographic regions, the method comprising:
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using a computer database to store a set of grass attributes and historical grass attribute values for a plurality of individual grass seed varieties, wherein a number and a type of historical grass attribute values from the set of grass attributes differs among the plurality of individual grass seed varieties, wherein for the individual grass seed varieties, the historical grass attribute values include a geographic region in which the individual grass seed varieties were grown, and wherein the historical grass attribute values for the plurality of individual grass seed varieties are associated with a plurality of geographic regions; using a computer processor to; receive a grass seed selection of at least two individual grass seed varieties, at least two historical growing years, and at least two target geographic regions for growing the grass seed selection; identify a common grass attribute from the historical grass attribute values for the selected target regions for each of the historical growing years; retrieve the historical grass attribute values for the common grass attribute; and display the retrieved historical grass attribute values for the identified common grass attribute in a graphical format as a prediction of attribute performance of the individual grass seed varieties within the individual regions. - View Dependent Claims (9, 10)
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11. A computer-implemented method for predicting performance of individual grass seed varieties within a geographic region, the method comprising:
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using a computer database to store grass attributes and historical grass attribute values for a plurality of individual grass seed varieties, wherein a number and a type of grass attributes differs among the plurality of individual grass seed varieties, wherein for the individual grass seed varieties, the historical grass attribute values include a geographic region in which the grass seeds were grown, and wherein the historical grass attribute values for the plurality of individual grass seed varieties are associated with a plurality of geographic regions; using a computer processor to; receive a first selection of at least two grass seeds and at least two target geographic regions for growing the grass seed selection, wherein the at least two target geographic regions are proximate a third geographic region; identify a first common set of grass attributes from the historical grass attribute values for the selected target regions from the differing number and type of grass attributes stored in the database; retrieve the historical grass attribute values for the common grass attribute; calculate a first weighted average in the common set for each of the retrieved historical grass attribute values; and display the first weighted average for the historical grass attribute values in a graphical format as a prediction of performance of the individual grass seed varieties in the third geographic region. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18)
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Specification