Method and system for mapping cut crop moisture in a field

Patent metadata

Field	Value
Publication number	US-12153189-B2
Application number	US-202217659949-A
Country	US
Kind code	B2
Filing date	Apr 20, 2022
Priority date	Apr 20, 2022
Publication date	Nov 26, 2024
Grant date	Nov 26, 2024

Abstract

A method of mapping a moisture level of a cut crop in a field includes identifying a cut time at which the cut crop was cut in the field. Elevation data, soil data, and weather data of the field are retrieved. A soil moisture map is then created to define a respective soil moisture level of the soil for each of a plurality of elevation zones in the field. The soil moisture map is based on a cut time, the elevation data, the soil data, and the weather data. A crop moisture map is then created to define a crop moisture level of the cut crop in each of the plurality of elevation zones in the field. The crop moisture map is based on the soil moisture map. By using the soil moisture map, the crop moisture map correlates the elevation data to the moisture levels of the cut crop.

First claim

The invention claimed is:

1. A method of mapping a moisture level of a cut crop in a field, the method comprising:
identifying a cut time at which the cut crop was cut in the field;
retrieving elevation data with a map controller, wherein the elevation data defines a surface elevation of the field;
retrieving soil data with the map controller, wherein the soil data defines a drainage rate of the soil in the field;
retrieving weather data with the map controller, wherein the weather data defines a weather history associated with the field during a historical period of time including the cut time;
defining a soil moisture map with the map controller, wherein the soil moisture map defines a respective soil moisture level of the soil for each of a plurality of elevation zones in the field and is based on the cut time, the elevation data, the soil data, and the weather data; and
defining a crop moisture map with the map controller, wherein the crop moisture map defines a crop moisture level contained within the cut crop in each of the plurality of elevation zones in the field and is based on the soil moisture map.

2. The method set forth in claim 1 , further comprising segmenting the field into the plurality of elevation zones based on the elevation data with the map controller, wherein each respective one of the plurality of elevation zones includes an elevation variance between a high elevation and a low elevation of each respective one of the plurality of elevation zones that is equal to or less than a defined maximum elevation variance.

3. The method set forth in claim 2 , further comprising defining a soil profile for each of the plurality of elevation zones based on the soil data.

4. The method set forth in claim 1 , further comprising retrieving a weather forecast with the map controller, wherein the weather forecast includes predicted weather data for the field for a future time period.

5. The method set forth in claim 4 , further comprising predicting a dry-down time for each of the plurality of elevation zones based on the crop moisture level of the cut crop in each of the plurality of elevation zones in the field, the soil moisture map, and the weather forecast.

6. The method set forth in claim 5 , further comprising communicating a notification signal to a receiver, wherein the notification signal includes a message indicating a desired time to initiate baling operations in each of the plurality of elevation zones of the field.

7. The method set forth in claim 1 , further comprising displaying the crop moisture map on a video display, wherein the crop moisture map shows each of the plurality of elevation zones in the field, and includes indicia indicating the crop moisture level of the cut crop in each respective one of the plurality of elevation zones.

8. The method set forth in claim 7 , wherein the crop moisture map includes indicia indicating a predicted dry-down time for the cut crop in each of the respective one of the plurality of elevation zones.

9. The method set forth in claim 1 , further comprising locating the field to define geographic coordinates delineating a boundary of the field.

10. The method set forth in claim 1 , further compromising determining a plant type of the cut crop.

11. The method set forth in claim 10 , the crop moisture map is based on the soil moisture map and the plant type of the cut crop.

12. A mapping system for generating a map representing a crop moisture level of a cut crop in a field, the mapping system comprising:
a map controller including a processor and a memory having a crop moisture algorithm stored thereon, wherein the processor is operable to execute the crop moisture algorithm to:
identify a cut time at which the cut crop was cut in the field;
retrieve elevation data that defines a surface elevation of the field;
retrieve soil data that defines a drainage rate of the soil in the field;
retrieve weather data that defines a weather history associated with the field during a historical period of time including the cut time;
define a soil moisture map that defines a respective soil moisture level of the soil for each of a plurality of elevation zones in the field, wherein the soil moisture map is based on the cut time, the elevation data, the soil data, and the weather data; and
define a crop moisture map that defines a crop moisture level contained within the cut crop in each of the plurality of elevation zones in the field, wherein the crop moisture map is based on the soil moisture map.

13. The mapping system set forth in claim 12 , further comprising a communicator operable to send and receive data signal for communicating with a computing device located remote therefrom.

14. The mapping system set forth in claim 12 , wherein the processor is operable to execute the crop moisture algorithm to segment the field into the plurality of elevation zones based on the elevation data, wherein each respective one of the plurality of elevation zones includes an elevation variance between a high elevation and a low elevation of each respective one of the plurality of elevation zones that is equal to or less than a defined maximum elevation variance.

15. The mapping system set forth in claim 14 , wherein the processor is operable to execute the crop moisture algorithm to define a soil profile for each of the plurality of elevation zones based on the soil data.

16. The mapping system set forth in claim 12 , wherein the processor is operable to execute the crop moisture algorithm to retrieve a weather forecast that includes predicted weather data for the field for a future time period.

17. The mapping system set forth in claim 16 , wherein the processor is operable to execute the crop moisture algorithm to predict a dry-down time for each of the plurality of elevation zones based on the crop moisture level of the cut crop in each of the plurality of elevation zones in the field, the soil moisture map, and the weather forecast.

18. The mapping system set forth in claim 12 , wherein the processor is operable to execute the crop moisture algorithm to communicate a notification signal to a receiver, wherein the notification signal includes a message indicating a desired time to initiate a baling operation in each of the plurality of elevation zones of the field.

19. The mapping system set forth in claim 12 , wherein the processor is operable to execute the crop moisture algorithm to locate the field to define geographic coordinates delineating a boundary of the field.

Assignees

• Deere & Co

Inventors

• Upasani Sameer Subhash
• Rugge Kedarnath
• Eubanks Jason C
• Derscheid Daniel E

Classifications

• A01B76/00

  Parts, details or accessories of agricultural machines or implements, not provided for in groups A01B51/00 - A01B75/00 · CPC title

• G01W1/10 Primary

  Devices for predicting weather conditions (computers per se G06; display devices G09) · CPC title

• A01B79/005 Primary

  Precision agriculture · CPC title