Map based farming for windrower operation

A computer implemented method of controlling a mobile windrowing machine, the computer implemented method comprising:

• receiving an information map that maps values of a first characteristic to a plurality of different geographic locations in a worksite;
• detecting, with a first in-situ sensor, a value of a second characteristic corresponding to a geographic area;
• generating, during a current operation of the mobile windrowing machine on the worksite, a functional predictive dry down map of the worksite that maps a plurality of predictive dry down values to the plurality of different geographic locations in the worksite,
• wherein each predictive dry down value, of the plurality of predictive dry down values, is
• mapped to a respective geographic location, of the plurality of different geographic locations, ahead of the mobile windrowing machine relative to a route of the mobile windrowing machine in the current operation,
• generated prior to the mobile windrowing machine reaching the respective geographic location during the current operation, and
• based on:
• the value of the first characteristic in the information map at the respective geographic location in the worksite, and
• the value of the second characteristic detected by the first in-situ sensor corresponding to the geographic area;
• and
• controlling the mobile windrowing machine based on the functional predictive dry down map.

An agricultural windrowing system comprising:

• a communication system configured to receive an information map that maps values of a characteristic to a plurality of different geographic locations in a worksite;
• one or more in-situ sensors configured to detect a value of at least one characteristic of a windrow formed on the worksite by an agricultural windrowing machine during a current operation of the agricultural windrowing machine on the worksite;
• one or more processors;
• and
• memory storing computer executable instructions that, when executed by the one or more processors, cause the one or more processors to:
• generate a predictive model indicative of a relationship between the characteristic and dry down or windrow shape quality based on the value of the at least one characteristic of the windrow formed on the worksite by the agricultural windrowing machine detected by the one or more in-situ sensors, and a value of the characteristic in the information map;
• generate a functional predictive map of the worksite that maps a plurality of predictive values of dry down or windrow shape quality to the plurality of different geographic locations in the worksite, wherein each predictive value, of the plurality of predictive values, is mapped to a respective geographic location, of the plurality of different geographic locations, and is based on the value of the characteristic in the information map corresponding to the respective geographic location and based on the predictive model;
• and
• control the agricultural windrowing machine based on the functional predictive map.