Methods and systems for managing agricultural activities
A computer-implemented method for recommending agricultural activities is implemented by an agricultural intelligence computer system in communication with a memory. The method includes receiving a plurality of field definition data, retrieving a plurality of input data from a plurality of data networks, determining a field region based on the field definition data, identifying a subset of the plurality of input data associated with the field region, determining a plurality of field condition data based on the subset of the plurality of input data, identifying a plurality of field activity options, determining a recommendation score for each of the plurality of field activity options based at least in part on the plurality of field condition data, and providing a recommended field activity option from the plurality of field activity options based on the plurality of recommendation scores.
1. A computer-implemented method for providing an improvement in modifying managing agricultural activities that are currently implemented using an agricultural intelligence computer system in communication with a memory, the method comprising:
receiving, by an agricultural intelligence computer, a plurality of field definition data;
retrieving, by the agricultural intelligence computer, a plurality of input data from a plurality of data networks; wherein the plurality of input data comprises elevation data;
determining, by the agricultural intelligence computer, a field region based on the field definition data;
determining an initial crop moisture level for the field region;
receiving a plurality of daily high and low temperatures for the field region;
receiving a plurality of crop water usage for the field region;
based on, at least in part, the initial crop moisture level, the plurality of daily high and low temperatures, and the plurality of crop water usage, determining a soil moisture level;
computing a plurality of field condition data based on a plurality of adjusted weighted temperatures, the soil moisture level, and a plurality of relative elevations;
based, at least in part, on the plurality of field condition data, determining a plurality of field activity options for the field region;
based, at least in part, on the plurality of field condition data, selecting a particular field activity option, from the plurality of field activity options, for the field region; and
providing the particular field activity option for the field region to a user device.
2. The computer-implemented method of claim 1 , wherein the plurality of field activity options includes one or more of: planting, nitrogen application, pest and disease treatment, irrigation application, scouting, or harvesting.
3. The computer-implemented method of claim 1 , further comprising:
determining a plurality of alerts for the plurality of field activity options;
wherein the plurality of alerts is generated based on monitoring of one or more of: hail size, rainfall, overall precipitation, soil moisture, crop scouting, wind conditions, field image, pest reports or disease reports.
4. The computer-implemented method of claim 1 , further comprising:
defining a precipitation analysis period;
retrieving a set of recent precipitation data, a set of predicted precipitation data, and a set of temperature data associated with the precipitation analysis period from a subset of the plurality of input data;
determining a workability index based on the set of recent precipitation data, the set of predicted precipitation data, and the set of temperature data; and
providing a workability value to the user device based on the workability index.
5. The computer-implemented method of claim 4 , further comprising:
receiving a prospective field activity; and
determining the workability index based partially on the prospective field activity.
6. The computer-implemented method of claim 1 , further comprising:
receiving a plurality of alert preferences from the user device;
identifying a plurality of alert thresholds associated with the plurality of alert preferences;
monitoring a subset of the plurality of input data; and
alerting the user device when at least one of the alert thresholds is exceeded.
7. The computer-implemented method of claim 1 , further comprising receiving a plurality of field definition data from at least one user device and an agricultural machine device.
8. A non-transitory computer-readable storage medium storing one or more computer instructions which, when executed by one or more processors, cause the one or more processors to perform:
receiving, by an agricultural intelligence computer, a plurality of field definition data;
retrieving, by the agricultural intelligence computer, a plurality of input data from a plurality of data networks; wherein the plurality of input data comprises elevation data;
determining, by the agricultural intelligence computer, a field region based on the field definition data;
determining an initial crop moisture level for the field region;
receiving a plurality of daily high and low temperatures for the field region;
receiving a plurality of crop water usage for the field region;
based on, at least in part, the initial crop moisture level, the plurality of daily high and low temperatures, and the plurality of crop water usage, determining a soil moisture level;
computing a plurality of field condition data based on a plurality of adjusted weighted temperatures, the soil moisture level, and a plurality of relative elevations;
based, at least in part, on the plurality of field condition data, determining a plurality of field activity options for the field region;
based, at least in part, on the plurality of field condition data, selecting a particular field activity option, from the plurality of field activity options, for the field region; and
providing the particular field activity option for the field region to a user device.
9. The non-transitory computer-readable storage medium of claim 8 , wherein the plurality of field activity options includes one or more of: planting, nitrogen application, pest and disease treatment, irrigation application, scouting, or harvesting.
10. The non-transitory computer-readable storage medium of claim 8 , storing additional instructions for:
determining a plurality of alerts for the plurality of field activity options;
wherein the plurality of alerts is generated based on monitoring of one or more of: hail size, rainfall, overall precipitation, soil moisture, crop scouting, wind conditions, field image, pest reports or disease reports.
11. The non-transitory computer-readable storage medium of claim 8 , storing additional instructions for:
defining a precipitation analysis period;
retrieving a set of recent precipitation data, a set of predicted precipitation data, and a set of temperature data associated with the precipitation analysis period from a subset of the plurality of input data;
determining a workability index based on the set of recent precipitation data, the set of predicted precipitation data, and the set of temperature data; and
providing a workability value to the user device based on the workability index.
12. The non-transitory computer-readable storage medium of claim 11 , storing additional instructions for:
receiving a prospective field activity; and
determining the workability index based partially on the prospective field activity.
13. The non-transitory computer-readable storage medium of claim 8 , storing additional instructions for:
receiving a plurality of alert preferences from the user device;
identifying a plurality of alert thresholds associated with the plurality of alert preferences;
monitoring a subset of the plurality of input data; and
alerting the user device when at least one of the alert thresholds is exceeded.
14. The non-transitory computer-readable storage medium of claim 8 , storing additional instructions for: receiving a plurality of field definition data from at least one user device and an agricultural machine device.
15. A networked agricultural intelligence system for improving managing agricultural activities comprising:
a plurality of data network computer systems;
an agricultural intelligence computer system comprising a processor and a memory in communication with said processor, said agricultural intelligence computer system configured to perform:
receiving, by an agricultural intelligence computer, a plurality of field definition data;
retrieving, by the agricultural intelligence computer, a plurality of input data from a plurality of data networks; wherein the plurality of input data comprises elevation data;
determining, by the agricultural intelligence computer, a field region based on the field definition data;
determining an initial crop moisture level for the field region;
receiving a plurality of daily high and low temperatures for the field region;
receiving a plurality of crop water usage for the field region;
based on, at least in part, the initial crop moisture level, the plurality of daily high and low temperatures, and the plurality of crop water usage, determining a soil moisture level;
computing a plurality of field condition data based on a plurality of adjusted weighted temperatures, the soil moisture level, and a plurality of relative elevations;
based, at least in part, on the plurality of field condition data, determining a plurality of field activity options for the field region;
based, at least in part, on the plurality of field condition data, selecting a particular field activity option, from the plurality of field activity options, for the field region; and
providing the particular field activity option for the field region to a user device.
16. The networked agricultural intelligence system of claim 15 , wherein the plurality of field activity options includes one or more of: planting, nitrogen application, pest and disease treatment, irrigation application, scouting, or harvesting.
17. The networked agricultural intelligence system of claim 15 , wherein the agricultural intelligence computer system is further configured to perform:
determining a plurality of alerts for the plurality of field activity options;
wherein the plurality of alerts is generated based on monitoring of one or more of: hail size, rainfall, overall precipitation, soil moisture, crop scouting, wind conditions, field image, pest reports or disease reports.
18. The networked agricultural intelligence system of claim 15 , wherein the agricultural intelligence computer system is further configured to perform:
defining a precipitation analysis period;
retrieving a set of recent precipitation data, a set of predicted precipitation data, and a set of temperature data associated with the precipitation analysis period from a subset of the plurality of input data;
determining a workability index based on the set of recent precipitation data, the set of predicted precipitation data, and the set of temperature data; and
providing a workability value to the user device based on the workability index.
19. The networked agricultural intelligence system of claim 18 , wherein the agricultural intelligence computer system is further configured to perform:
receiving a prospective field activity; and
determining the workability index based partially on the prospective field activity.
20. The networked agricultural intelligence system of claim 15 , wherein the agricultural intelligence computer system is further configured to perform:
receiving a plurality of alert preferences from the user device;
identifying a plurality of alert thresholds associated with the plurality of alert preferences;
monitoring a subset of the plurality of input data; and
alerting the user device when at least one of the alert thresholds is exceeded.