Method for operating a harvesting machine with the aid of a plant growth model
A method for operating a harvesting machine for harvesting a crop in a field, at least one operating value for a working part of the harvesting machine being determined in dependence on at least one plant property of the crop. The plant property is mapped in a plant growth model, the plant growth model modelling a development over time of the plant property and determining a predictive value or a predictive characteristic of the plant property for the time of the harvest.
1. A method for operating a harvesting machine for harvesting a crop in a field, the method comprising:
mapping a plant property of the crop in a plant growth model;
modelling, in the plant growth model, a development over time of the plant property;
determining a predictive value or a predictive characteristic of the plant property for a time of harvest, wherein the predictive value or the predictive characteristic of the plant property is based at least partially on an assignment of the plant property to location coordinates with a spatial resolution of at least 5 times 5 meters;
determining at least one operating value for a working part of the harvesting machine based on the predictive value or predictive characteristic of the plant property; and
operating the working part of the harvesting machine according to the at least one operating value and the location coordinates to harvest the crop in the field, wherein the plant growth model uses at least one of meteorological data, soil data, and remote sensing data.
2. The method of claim 1 , wherein the plant property is a content of mycotoxins, a content of proteins, a straw moisture content, an individual grain size, or a threshability.
3. The method of claim 1 , wherein the harvesting machine Is a combine harvester or a forage harvester.
4. The method of claim 1 , wherein the predictive value or the predictive characteristic of the plant property is determined based on geo-referencing.
5. The method of claim 4 wherein the field is divided into segments, and segments of a first group are differentiated from segments of at least one second group based on the plant property.
6. The method of claim 5 , comprising harvesting the segments of the first group before the segments of the second group.
7. The method of claim 5 , comprising filling a first crop container while harvesting at least one segment of the first group and filling a second crop container while harvesting at least one segment of the second group.
8. The method of claim 1 , wherein the plant property represents a second plant property, which is derived from a first plant property.
9. The method of claim 1 , wherein the plant growth model uses meteorological data.
10. The method of claim 1 , wherein the plant growth model uses soil data.
11. The method of claim 1 , wherein the plant growth model uses remote sensing data.
12. The method of claim 1 , wherein a measuring device is attached to the harvesting machine, and the predictive value or the predictive characteristic of the plant property is calibrated based on signals from the measuring device.
13. The method of claim 12 , wherein the measuring device comprises a contactless sensor or a sensor for a crop that has been harvested.
14. The method of claim 1 , wherein past values from a previous growth period or a previous harvest are used for the modelling of the plant property.