Agricultural data analysis
Described herein are systems and methods for agricultural data analysis. In one embodiment, a computer system for monitoring field operations includes a database for storing agricultural data including yield and field data and at least one processing unit that is coupled to the database. The at least one processing unit is configured to execute instructions to monitor field operations, to store agricultural data, to automatically determine whether at least one correlation between different variables or parameters of the agricultural data exceeds a threshold, and to perform analysis of the agricultural data to identify a category of man-made issues or other issues that have potentially caused the correlation when at least one correlation occurs between different variables or parameters of the agricultural data.
1. A computer system for monitoring operations of one or more fields, comprising:
a database for storing agricultural data including yield and field data related to the one or more fields; and
at least one processing unit coupled to the database, the at least one processing unit configured to:
monitor operations of the one or more fields,
store the agricultural data based on the monitoring,
automatically determine whether a correlation between the yield and a different variable or parameter of the agricultural data affecting the one or more fields exceeds a threshold, and
identify a category of issues that have potentially caused the correlation based on the agricultural data;
send a communication to a device including a recommendation to remedy the identified category of issues to be implemented by the device, to improve the yield for at least one field of the one or more fields.
2. The computer system of claim 1 ,
the at least one processing unit configured to check if crop yield for the one or more fields has a geometric pattern,
the at least one processing unit configured to determine if irrigation or application pass corresponds to the geometric pattern.
3. The computer system of claim 2 , the geometric pattern being a linear pattern or a circular pattern.
4. The computer system of claim 2 , the application pass including a mechanical issue of the category of issues during planting or fertilization of seed.
5. The computer system of claim 1 , the communication being related to the determined correlation or the identified category of issues.
6. The computer system of claim 1 , the communication including a map of the one or more fields or comparison data related to the one or more fields by field or by season.
7. The computer system of claim 6 , the at least one processing unit further configured to generate the recommendation in response to a user selection of a farming practice parameter.
8. The computer system of claim 1 ,
the at least one processing unit configured to check if crop yield of the field corresponds to a location or channel of a waterway,
the at least one processing unit configured to verify that a pest or insect issue of the category of issues affecting the waterway.
9. The computer system of claim 1 , the field data related to the one or more fields including identification data, harvest data, planting data, fertilizer data, pesticide data, irrigation data, and weather data, farming practice information, input cost information, or commodity price information.
10. The computer system of claim 1 , the correlation being represented as R squared and the threshold being no less than 0.8.
11. A computer-implemented method of monitoring operations of one or more fields, comprising:
monitoring, by a processor, operations of the one or more fields;
storing the agricultural data based on the monitoring;
automatically determining, by the processor, whether a correlation between different variables or parameters of the agricultural data each affecting the one or more fields exceeds a threshold; and
identifying a category of issues that have potentially caused the correlation based on the agricultural data.
12. The computer-implemented method of claim 11 ,
the determining comprising checking if crop yield for the field has a geometric pattern,
the identifying comprising determining if irrigation or application pass corresponds to the geometric pattern.
13. The computer-implemented method of claim 12 , the geometric pattern being a linear pattern or a circular pattern.
14. The computer-implemented method of claim 12 , the application pass including a mechanical issue during planting or fertilization of seed.
15. The computer-implemented method of claim 11 , further comprising sending a communication to a device of a user related to the determined correlation or the identified category of issues.
16. The computer-implemented method of claim 11 , the communication including a map of the one or more fields or comparison data related to the one or more fields by field or by season.
17. The computer-implemented method of claim 16 , further comprising generating the recommendation in response to a user selection of a farming practice parameter.
18. The computer-implemented method of claim 11 ,
the determining comprising checking if crop yield of the field corresponds to a location or channel of a waterway,
the identifying comprising verifying a pest or insect issue is affecting the waterway.
19. The computer-implemented method of claim 11 , the field data related to the field including identification data, harvest data, planting data, fertilizer data, pesticide data, irrigation data, and weather data, farming practice information, input cost information, or commodity price information.
20. The computer-implemented method of claim 11 , wherein the correlation being represented as R squared and the threshold being no less than 0.8.