System and method for suggesting an optimal time for performing an agricultural operation

A method of generating suggested optimal times for performing agricultural operations in a field, the method comprising:

• providing a computing device at a location remote from the field, the computing device including a processor and a memory having a time estimator algorithm stored thereon, wherein the processor is operable to execute the time estimator algorithm;
• receiving data at the time estimator algorithm of the computing device from at least one sensor located in the field, wherein the data indicates a current condition of a crop in the field acquired by the at least one sensor located in the field;
• receiving, at the computing device, an input from a user indicating a desired agricultural operation;
• determining, by the time estimator algorithm of the computing device using an agricultural model, a predicted optimal time to perform the desired agricultural operation in the field, wherein the agricultural model determines the predicted optimal time using the data related to the current condition of the crop as an input;
• receiving crowdsourcing data with the time estimator algorithm of the computing device, wherein the crowdsourcing data is related to agricultural operations occurring within a defined area surrounding the field and within a defined preceding time period;
• adjusting the predicted optimal time to perform the desired agricultural operation based on the crowdsourcing data to generate a suggested optimal time to perform the desired agricultural operation;
• communicating the suggested optimal time to a communicator located remote from the computing device;
• displaying the suggested optimal time on the communicator;
• and
• executing the desired agricultural operation with an implement based on a command including the suggested optimal time.