A system for forecasting the drying of an agricultural crop includes an electronic processor configured to receive weather data associated with an agricultural field and receive an agricultural field parameter from a field sensor associated with the agricultural field. The electronic processor is also configured to determine a drying score for each of a plurality of harvest times based on the weather data and the agricultural field parameter. The electronic processor is also configured to determine a recommended harvest time for harvesting the agricultural crop based on the drying score, wherein the recommended harvest time is included in the plurality of harvest times. The electronic processor is also configured to output a forecast for the agricultural crop for display to a user, wherein the forecast includes the drying score and the recommended harvest time for harvesting the agricultural crop.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A system for forecasting the drying of an agricultural crop, the system comprising: an electronic processor configured to receive weather data associated with an agricultural field, receive an agricultural field parameter from a field sensor associated with the agricultural field, determine a drying score for each of a plurality of harvest times based on the weather data and the agricultural field parameter, determine a recommended harvest time for harvesting the agricultural crop based on the drying score, wherein the recommended harvest time is included in the plurality of harvest times, and output a forecast for the agricultural crop for display to a user, wherein the forecast includes the drying score and the recommended harvest time for harvesting the agricultural crop. 2. The system of claim 1, wherein the field sensor is at least one selected from a group consisting of a humidity sensor, a moisture sensor, a temperature sensor, a wind sensor, and a soil sensor. 3. The system of claim 1, wherein the field sensor is positioned on a mobile monitoring device configured to monitor the agricultural field, wherein the mobile monitoring device includes at least one selected from a group consisting of an aerial monitoring vehicle and a surface monitoring vehicle. 4. The system of claim 1, wherein the electronic processor is further configured to receive a user-selected harvest time for harvesting the agricultural crop and determine a drying score for the user-selected harvest time, wherein the forecast includes the user-selected harvest time and the drying score for the user-selected harvest time. 5. The system of claim 4, wherein the electronic processor is further configured to determine a probability of success for the user-selected harvest time, wherein the forecast includes the probability of success for the user-selected harvest time. 6. The system of claim 1, wherein the electronic processor is further configured to receive an actual harvest time indicating when the agricultural crop was harvested and determine a recommended time for performing a post-harvest activity based on the actual harvest time, wherein the forecast includes the recommended time for performing the post-harvest activity. 7. The system of claim 1, wherein the electronic processor is further configured to determine a probability of success for each of the plurality of harvest times, wherein the forecast includes the probability of success for each of the plurality of harvest times. 8. The system of claim 1, wherein the electronic processor is further configured to identify a dry period based on the weather data, wherein the dry period represents a future period of time with no anticipated precipitation at the agricultural field and determine a cumulative drying score for the dry period, wherein the forecast includes the dry period and the cumulative drying score for the dry period. 9. The system of claim 1, wherein the electronic processor is further configured to receive a user input and determine the drying score based on the user input, wherein the forecast includes the user input. 10. The system of claim 9, wherein the user input includes at least one selected from a group consisting of an location of the agricultural field, a soil type, a crop type, a crop yield, a size of the agricultural field, an identifier of the agricultural field, and an angle and direction of ground slope of the agricultural field. 11. A method for forecasting the drying of an agricultural crop, the method comprising: receiving, with an electronic processor, weather data associated with an agricultural field; receiving, with the electronic processor, an agricultural field parameter from a field sensor associated with the agricultural field; determining, with the electronic processor, a drying score for each of a plurality of harvest times based on the weather data and the agricultural field parameter; determining, with the electronic processor, a recommended harvest time for harvesting the agricultural crop based on the drying score, wherein the recommended harvest time is included in the plurality of harvest times; outputting, with the electronic processor, a forecast of the agricultural crop for display to a user, wherein the forecast includes the drying score and the recommended harvest time for harvesting the agricultural crop; and harvesting the agricultural crop at the recommended harvest time based on the forecast. 12. The method of claim 11, further comprising: receiving a user-selected harvest time for harvesting the agricultural crop; determining a drying score for the user-selected harvest time; and determining a probability of success for the user-selected harvest time, wherein outputting the forecast includes outputting the forecast including the user-selected harvest time, the drying score for the user-selected harvest time, and the probability of success for the user-selected harvest time. 13. The method of claim 11, further comprising: receiving an actual harvest time indicating when the agricultural crop was harvested; and determining a recommended time for performing a post-harvest activity based on the actual harvest time, wherein outputting the forecast includes outputting the forecast including the recommended time for performing the post-harvest activity. 14. The method of claim 11, further comprising: determining a probability of success for each of the plurality of harvest times, wherein outputting the forecast includes outputting the forecast including the probability of success for each of the plurality of harvest times. 15. The method of claim 11, further comprising: identifying a dry period based on the weather data, wherein the dry period represents a future period of time with no anticipated precipitation at the agricultural field; and determining a cumulative drying score for the dry period, wherein outputting the forecast includes outputting the forecast including the dry period and the cumulative drying score for the dry period. 16. The method of claim 11, further comprising: receiving a user input; and determining the drying score based on the user input, wherein outputting the forecast includes outputting the forecast including the user input. 17. The method of claim 16, further comprising: controlling an agricultural machine based on the forecast. 18. The method of claim 11, wherein determining the drying score for each of the plurality of harvest times includes applying a model to the weather data and the agricultural field parameter, wherein the model is generated using a machine learning function. 19. The method of claim 18, further comprising: receiving user feedback data relating to the harvest of the agricultural crop; and updating the model based on the user feedback data, wherein receiving user feedback data includes receiving at least one selected from a group consisting of an actual harvest time indicating when the agricultural crop was harvested, a dryness of the agricultural crop at the actual harvest time, a dryness of the agricultural crop when a post-harvest activity was performed, and an amount of time for the agricultural crop to dry after harvesting the agricultural crop. 20. A method for forecasting the drying of an agricultural crop, the method comprising: receiving, with an electronic processor, weather data associated with an agricultural field; receiving, with the electronic processor, an agricultural field parameter from a field sensor associated with the agricultural field; determining, with the electronic processor, a drying score for each of a plurality of harvest times based on the weather data and the agricultural field parameter; determining, with the electronic processor, a recommended harvest time for harvesting the agricultural crop based on the drying score, wherein the recommended harvest time is included in the plurality of harvest times; outputting, with the electronic processor, a forecast of the agricultural crop for display to a user, wherein the forecast includes the drying score and the recommended harvest time for harvesting the agricultural crop; and harvesting the agricultural crop at the recommended harvest time based on the forecast of the agricultural crop.