Accurately determining crop yield at a farm level
Techniques for using a scaling relationship between crop drymass and elevation at a farm level to redistribute crop yield data are provided. In one aspect, a method for analyzing crop yield is provided. The method includes the steps of: obtaining crop yield data for a farm; cleansing the crop yield data using a data filter(s), wherein one or more data points are eliminated from the crop yield data by the data filter; and redistributing a value of the data points eliminated from the crop yield data to data points remaining in the crop yield data to create a crop yield distribution for the farm.
1. A method for analyzing crop yield performed by a processor device, coupled to a memory, the method comprising the steps of:
obtaining crop yield data for a farm;
cleansing the crop yield data using at least one data filter, wherein data points are eliminated from the crop yield data by the data filter;
calculating a total value of the data points that are eliminated from the crop yield data by the data filter;
redistributing the total value of the data points that are eliminated from the crop yield data by the data filter to data points remaining in the crop yield data to create a crop yield distribution for the farm; and
altering farming practices based on the crop yield distribution by at least one of: i) varying seeding rates across different sections of the farm, and ii) varying a type and an amount of fertilizers used in different regions of the farm.
2. The method of claim 1 , further comprising the step of:
determining a sum of the value of the data points eliminated from the crop yield data.
3. The method of claim 2 , wherein equal amounts of the sum of the value of the data points eliminated from the crop yield data are redistributed to the data points remaining in the crop yield data.
4. The method of claim 1 , further comprising the step of:
obtaining elevation products for the farm, wherein the elevation products comprise at least one of slope and aspect ratio.
5. The method of claim 4 , further comprising the step of:
determining a scaling relationship between the crop yield data and the elevation products.
6. The method of claim 5 , further comprising the step of:
obtaining historical crop yield data from one or more previous growing seasons.
7. The method of claim 6 , further comprising the step of:
verifying the scaling relationship using the historical crop yield data from one or more previous growing seasons.
8. The method of claim 5 , wherein the value of the data points eliminated from the crop yield data is redistributed to the data points remaining in the crop yield data based on the scaling relationship.
9. The method of claim 5 , further comprising the step of:
using the scaling relationship to recreate the crop yield data for regions of the farm for which the one or more data points have been eliminated by the data filter.
10. The method of claim 1 , further comprising the step of:
determining a total crop drymass for the farm using the crop yield data.
11. The method of claim 1 , further comprising the steps of:
dividing the farm into multiple management zones; and
performing the steps of claim 1 independently for each of the management zones.
12. A computer program product for analyzing crop yield, the computer program product comprising a non-transitory computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to:
obtain crop yield data for a farm;
cleanse the crop yield data using at least one data filter, wherein data points are eliminated from the crop yield data by the data filter;
calculate a total value of the data points that are eliminated from the crop yield data by the data filter;
redistribute the total value of the data points that are eliminated from the crop yield data by the data filter to data points remaining in the crop yield data to create a crop yield distribution for the farm; and
alter farming practices based on the crop yield distribution by at least one of: i) varying seeding rates across different sections of the farm, and ii) varying a type and an amount of fertilizers used in different regions of the farm.
13. The computer program product of claim 12 , wherein the program instructions further cause the computer to:
determine a sum of the value of the data points eliminated from the crop yield data.
14. The computer program product of claim 13 , wherein equal amounts of the sum of the value of the data points eliminated from the crop yield data are redistributed to the data points remaining in the crop yield data.
15. The computer program product of claim 12 , wherein the program instructions further cause the computer to:
obtain elevation products for the farm, wherein the elevation products comprise at least one of slope and aspect ratio.
16. The computer program product of claim 15 , wherein the program instructions further cause the computer to:
determine a scaling relationship between the crop yield data and the elevation products.
17. The computer program product of claim 16 , wherein the value of the data points eliminated from the crop yield data is redistributed to the data points remaining in the crop yield data based on the scaling relationship.
18. The computer program product of claim 16 , wherein the program instructions further cause the computer to:
use the scaling relationship to recreate the crop yield data for regions of the farm for which the one or more data points have been eliminated by the data filter.
19. The computer program product of claim 16 , wherein the program instructions further cause the computer to:
verify the scaling relationship using historical crop yield data from one or more previous growing seasons.