Machine learning method and system for predicting key agricultural field management practices
US-2024362570-A1 · Oct 31, 2024 · US
US10482547B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10482547-B2 |
| Application number | US-201715674938-A |
| Country | US |
| Kind code | B2 |
| Filing date | Aug 11, 2017 |
| Priority date | Aug 30, 2013 |
| Publication date | Nov 19, 2019 |
| Grant date | Nov 19, 2019 |
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Systems and methods are provided for determining the usability of data from agricultural operations and displaying results. In some embodiments, data is first gathered during two agricultural operations, and bitmaps are rendered of the data gathered at the two agricultural operations. The usability of the bitmap values is determined and used to generate a display map screen where, at locations determined to have usable bitmap values, the first and second data are displayed in adjacent windows.
Opening claim text (preview).
What is claimed is: 1. A method of generating display data during agricultural operations, comprising: receiving, from one or more sensors coupled to a planter unit, first data at a first plurality of geo-referenced locations as the planter unit traverses the first plurality of geo-referenced locations during a first agricultural operation; receiving, from one or more sensors mounted in a harvester unit, second data at a second plurality of geo-referenced locations as the harvester unit traverses the second plurality of geo-referenced locations during a subsequent second agricultural operation, wherein the second plurality of geo-referenced locations includes a plurality of swaths; generating first bitmap values corresponding to the first data received during the first agricultural operation; generating second bitmap values corresponding to the second data received during the second agricultural operation; and during the subsequent second agricultural operation, generating a display map screen comprising a first bitmap rendered from the first bitmap values and a second bitmap rendered from the second bitmap values, wherein; the second bitmap includes only those swaths, of the plurality of swaths, that include at least a certain percentage of second bitmap values in those swaths and that correspond to those locations, of the first plurality of geo-referenced locations, that were planted with a same seed type, wherein the first bitmap and the second bitmap are displayed in adjacent windows. 2. The method of claim 1 , wherein said first agricultural operation comprises a planting operation, wherein said second agricultural operation comprises a harvesting operation, wherein said first data comprises planting data, and wherein said second data comprises harvest data. 3. The method of claim 2 , wherein the second data is received at the second plurality of geo-referenced locations during the second agricultural operation at regular time intervals subsequent to the first agricultural operation. 4. The method of claim 3 , wherein said harvest data includes a plurality of combine head swath locations. 5. The method of claim 4 , further comprising: converting each of said plurality of combine head swath locations to bitmap space coordinates. 6. The method of claim 5 , further comprising: obtaining bitmap values at said bitmap space coordinates. 7. The method of claim 6 , further comprising: determining a combined planting data value applicable to all of said combine head swath locations for a single combine head position. 8. The method of claim 7 , further comprising: associating said combined planting data value with a planting data set. 9. The method of claim 8 , further comprising: adding a harvest metric to a cumulative harvest metric associated with said combined planting data value. 10. The method of claim 9 , wherein generating the display map screen further comprises: displaying a correlation of planting data sets with cumulative harvest metrics. 11. A method of correlating data during agricultural operations, comprising: receiving, from one or more sensors coupled to a planter unit, first data at a first plurality of geo-referenced locations as the planter unit traverses the first plurality of geo-referenced locations during a first agricultural operation; receiving, from one or more sensors mounted in a harvester unit, second data at a second plurality of geo-referenced locations as the harvester unit traverses the second plurality of geo-referenced locations during a subsequent second agricultural operation, wherein the second plurality of geo-referenced locations includes a plurality of swaths; generating first map values corresponding to the first data received during the first agricultural operation; generating second map values corresponding to the second data received during the second agricultural operation; and during the subsequent second agricultural operation, generating a display map screen comprising a first map rendered from the first map values and a second map rendered from the second map values, wherein the second map includes only those swaths, of the plurality of swaths, that include at least a certain percentage of second map values in those swaths and that correspond to those locations, of the first plurality of geo-referenced locations, that were planted with a same seed type, wherein the first map and the second map are displayed in adjacent windows. 12. The method of claim 11 , wherein said first agricultural operation comprises a planting operation, wherein said second agricultural operation comprises a harvesting operation, wherein said first data comprises planting data, and wherein said second data comprises harvest data. 13. The method of claim 12 , wherein the second data is received at the second plurality of geo-referenced locations during the second agricultural operation at regular time intervals subsequent to the first agricultural operation. 14. The method of claim 13 , further comprising: associating each of said first plurality of geo-referenced locations with a map tile of said first map. 15. The method of claim 13 , wherein said harvest data includes a plurality of combine head locations. 16. The method of claim 14 , further comprising: determining a combined second agricultural operation data value applicable to all of said first plurality of geo-referenced locations for a single position reached during said second agricultural operation. 17. The method of claim 16 , further comprising: associating said combined second agricultural operation data value with a data set from said first data. 18. The method of claim 17 , further comprising: displaying a correlation of said combined second agricultural operation data value with the data set from the said first data. 19. A method of correlating data during agricultural operations, comprising: receiving, from one or more sensors mounted in a planter unit, first data at a first plurality of geo-referenced locations as the planter unit traverses the first plurality of geo-referenced locations during a first agricultural operation; receiving, from one or more sensors mounted in a harvest unit, second data at a second plurality of geo-referenced locations as the harvester unit traverses the second plurality of geo-referenced locations during a subsequent second agricultural operation, wherein the second plurality of geo-referenced locations includes a plurality of swaths; generating first bitmap values corresponding to the first data received during the first agricultural operation; generating second bitmap values corresponding to the second data received during the second agricultural operation; and generating a display of a first bitmap rendered from the first bitmap values and a second bitmap rendered from the second bitmap values, wherein the second bitmap includes only those swaths, of the plurality of swaths, that include at least a certain percentage of second bitmap values in those swaths and that correspond to those locations, of the first plurality of geo-referenced locations, that were planted with a same seed type. 20. The method of claim 19 , wherein said first agricultural operation comprises a planting operation, wherein said second agricultural operation comprises a harvesting operation, wherein said first data comprises planting data, and wherein said second data comprises harvest data.
Agriculture; Fishing; Forestry; Mining · CPC title
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