Edge-based crop yield prediction
US-2021183108-A1 · Jun 17, 2021 · US
US12585280B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12585280-B2 |
| Application number | US-202318526612-A |
| Country | US |
| Kind code | B2 |
| Filing date | Dec 1, 2023 |
| Priority date | Oct 9, 2020 |
| Publication date | Mar 24, 2026 |
| Grant date | Mar 24, 2026 |
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One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.
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What is claimed is: 1 . An agricultural system comprising: a geographic position sensor that detects a geographic location of an agricultural work machine; an in-situ sensor that detects, during a current operation of the agricultural work machine at a field, a value of a first agricultural characteristic indicative of a characteristic of processed material corresponding to a first geographic location in the field; one or more processors; memory; and computer executable instructions, stored in the memory, and executable by the one or more processors, the computer executable instructions, when executed by the one or more processors, configuring the one or more processors to: obtain an information map that includes values of a second agricultural characteristic corresponding to different geographic locations in the field; identify, during the current operation of the agricultural work machine at the field, a relationship between the first agricultural characteristic and the second agricultural characteristic based on the value of the first agricultural characteristic detected by the in-situ sensor corresponding the first geographic location in the field and a value of the second agricultural characteristic in the information map corresponding to the first geographic location in the field; identify, during the current operation of the agricultural work machine at the field, a predictive value of the first agricultural characteristic corresponding to a second geographic location in the field based on a value of the second agricultural characteristic in the information map corresponding to the second geographic location and based on the identified relationship between the first agricultural characteristic and the second agricultural characteristic; and control, during the current operation at the field, a controllable subsystem of the agricultural work machine based on the predictive value of the first agricultural characteristic corresponding to the second geographic location in the field. 2 . The agricultural system of claim 1 , wherein the in-situ sensor comprises: a tailings characteristic sensor that detects, as the value of the first agricultural characteristic, a value of a characteristic of tailings in the agricultural work machine. 3 . The agricultural system of claim 1 , wherein the in-situ sensor comprises: a loss sensor that detects, as the value of the first agricultural characteristic, a value of a characteristic indicative of crop loss from the agricultural work machine. 4 . The agricultural system of claim 1 , wherein the in-situ sensor comprises: a grain quality sensor that detects, as the value of the first agricultural characteristic, a value of a characteristic indicative of grain quality in the agricultural work machine. 5 . The agricultural system of claim 1 , wherein the in-situ sensor comprises: an internal distribution sensor that detects, as the value of the first agricultural characteristic, a value of a characteristic indicative of a distribution of harvested material in the agricultural work machine. 6 . The agricultural system of claim 1 , wherein the computer executable instructions, when executed by the one or more processors, further configure the one or more processors to: identify, as the predictive value of the first agricultural characteristic corresponding to the second geographic location in the field, a predictive value of a tailings characteristic corresponding to the second geographic location in the field. 7 . The agricultural system of claim 1 , wherein the computer executable instructions, when executed by the one or more processors, further configure the one or more processors to: identify, as the predictive value of the first agricultural characteristic corresponding to the second geographic location in the field, a predictive value of a crop loss characteristic corresponding to the second geographic location in the field. 8 . The agricultural system of claim 1 , wherein the computer executable instructions, when executed by the one or more processors, further configure the one or more processors to: identify, as the predictive value of the first agricultural characteristic corresponding to the second geographic location in the field, a predictive value of a grain quality characteristic corresponding to the second geographic location in the field. 9 . The agricultural system of claim 1 , wherein the computer executable instructions, when executed by the one or more processors, further configure the one or more processors to: identify, as the predictive value of the first agricultural characteristic corresponding to the second geographic location in the field, a predictive value of an internal distribution characteristic corresponding to the second geographic location in the field. 10 . The agricultural system of claim 1 , wherein the information map comprises a topographic map that includes, as the values of the second agricultural characteristic, values of a topographic characteristic corresponding to the different geographic locations in the field and wherein the identified relationship comprises a relationship between the first agricultural characteristic and the topographic characteristic. 11 . The agricultural system of claim 1 , wherein the information map comprises a seed genotype map that includes, as the values of the second agricultural characteristic, values of seed genotype corresponding to the different geographic locations in the field and wherein the identified relationship comprises a relationship between the first agricultural characteristic and seed genotype. 12 . The agricultural system of claim 1 , wherein the information map comprises a vegetative index map that includes, as the values of the second agricultural characteristic, values of a vegetative index characteristic corresponding to the different geographic locations in the field and wherein the identified relationship comprises a relationship between the first agricultural characteristic and the vegetative index characteristic. 13 . The agricultural system of claim 1 , wherein the information map comprises a yield map that includes, as the values of the second agricultural characteristic, values of yield corresponding to the different geographic locations in the field and wherein the identified relationship comprises a relationship between the first agricultural characteristic and yield. 14 . The agricultural system of claim 1 , wherein the information map comprises a biomass map that includes, as the values of the second agricultural characteristic, values of a biomass corresponding to the different geographic locations in the field and wherein the identified relationship comprises a relationship between the first agricultural characteristic and biomass. 15 . The agricultural system of claim 1 , wherein the information map comprises a weed map that includes, as the values of the second agricultural characteristic, values of a weed characteristic corresponding to the different geographic locations in the field and wherein the identified relationship comprises a relationship between the first agricultural characteristic and the weed characteristic. 16 . A computer implemented method comprising: obtaining an information map that indicates values of a first agricultural characteristic corresponding to different geographic locations in a field; detecting a geographic location of an agricultural work machine; detecting, with an in-situ sensor during a current operation of the agricultural work machine at the field, a value of a second
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