Identifying management zones in agricultural fields and generating planting plans for the zones
In an embodiment, computer processes are programmed to determine planting plans based on planting characteristics data received for an agricultural field and a plurality of management zone delineation options defined for the agricultural field. Each of the planting plans specifies different planting recommendations for the agricultural field. A first graphical representation of the planting plans, and an interactive object is generated and displayed on a computing device. The interactive object is configured to receive input specifying a relative importance ratio between the planting plans for determining a new planting plan for the agricultural field. A particular relative importance ratio is received via the interactive object, and is used to determine the new planting plan, which specifies new planting recommendations for the agricultural field. Information about the new planting plan is displayed on the computer device.
1. A method comprising:
causing display, in a graphical user interface displayed on a display device, of digital planting plan data and a graphical element;
wherein the digital planting plan data comprises seeding rate data for an agricultural field;
wherein the graphical element comprises a feature that is adjustable by an input interaction with the graphical user interface;
in response to an adjustment of the feature of the graphical element, adjusting a relative importance ratio of two different data models that generate different types of planting plan recommendations, and causing display, in the graphical user interface, of adjusted seeding rate data;
wherein the adjusted seeding rate data is computed by applying a weight to the seeding rate data;
wherein the weight used to compute the adjusted seeding rate data is modified in correlation with the adjustment of the feature;
wherein the method is performed by one or more computing devices.
2. The method of claim 1 , wherein the seeding rate data is computed as a weighted sum of seeding rates computed using different models or as a weighted average of seeding rates computed using different models.
3. The method of claim 2 , wherein the adjusted seeding rate data is computed by adjusting weights used to compute the weighted sum or by adjusting weights used to compute the weighted average.
4. The method of claim 3 , wherein the adjusted seeding rate data is computed using any one or more of the following: a weighted interpolation process, an inverse distance weighting process.
5. The method of claim 2 , wherein the different models used to compute the seeding rate data comprise any one or more of the following: a profit-based model, a revenue-based model, a yield-based model.
6. The method of claim 1 , wherein the seeding rate data is computed using any one or more of the following: seed data associated with the agricultural field, yield data associated with the agricultural field, cost data associated with particular seed data, market price data associated with particular product data.
7. The method of claim 1 , wherein the graphical element comprises a slider element; wherein a position of the slider element is adjustable relative to at least one reference position displayed in the graphical user interface.
8. The method of claim 1 , wherein the graphical element comprises a slider element; wherein a position of the slider element is adjustable along a path that extends between first and second reference positions displayed in the graphical user interface.
9. The method of claim 8 , wherein the first and second reference positions are associated with different models used to compute the seeding rate data.
10. The method of claim 1 , wherein the seeding rate data is computed for a particular zone of the agricultural field.
11. One or more non-transitory storage media storing instructions which, when executed by one or more computing devices, cause performance of operations comprising:
causing display, in a graphical user interface displayed on a display device, of digital planting plan data and a graphical element;
wherein the digital planting plan data comprises seeding rate data for an agricultural field;
wherein the graphical element comprises a feature that is adjustable by an input interaction with the graphical user interface;
in response to an adjustment of the feature of the graphical element, adjusting a relative importance ratio of two different data models that generate different types of recommendations, and causing display, in the graphical user interface, of adjusted seeding rate data;
wherein the adjusted seeding rate data is computed by applying a weight to the seeding rate data;
wherein the weight used to compute the adjusted seeding rate data is modified in correlation with the adjustment of the feature;
wherein the method is performed by one or more computing devices.
12. The one or more non-transitory storage media of claim 11 , wherein the seeding rate data is computed as a weighted sum of seeding rates computed using different models or as a weighted average of seeding rates computed using different models.
13. The one or more non-transitory storage media of claim 12 , wherein the adjusted seeding rate data is computed by adjusting weights used to compute the weighted sum or by adjusting weights used to compute the weighted average.
14. The one or more non-transitory storage media of claim 13 , wherein the adjusted seeding rate data is computed using any one or more of the following: a weighted interpolation process, an inverse distance weighting process.
15. The one or more non-transitory storage media of claim 12 , wherein the different models used to compute the seeding rate data comprise any one or more of the following: a profit-based model, a revenue-based model, a yield-based model.
16. The one or more non-transitory storage media of claim 11 , wherein the seeding rate data is computed using any one or more of the following: seed data associated with the agricultural field, yield data associated with the agricultural field, cost data associated with particular seed data, market price data associated with particular product data.
17. The one or more non-transitory storage media of claim 11 , wherein the graphical element comprises a slider element; wherein a position of the slider element is adjustable relative to at least one reference position displayed in the graphical user interface.
18. The one or more non-transitory storage media of claim 11 , wherein the graphical element comprises a slider element; wherein a position of the slider element is adjustable along a path that extends between first and second reference positions displayed in the graphical user interface.
19. The one or more non-transitory storage media of claim 18 , wherein the first and second reference positions are associated with different models used to compute the seeding rate data.
20. The one or more non-transitory storage media of claim 11 , wherein the seeding rate data is computed for a particular zone of the agricultural field.