Work layer imaging and analysis for implement monitoring, control and operator feedback
US-2020302586-A1 · Sep 24, 2020 · US
US2023417727A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2023417727-A1 |
| Application number | US-202318462006-A |
| Country | US |
| Kind code | A1 |
| Filing date | Sep 6, 2023 |
| Priority date | Oct 17, 2017 |
| Publication date | Dec 28, 2023 |
| Grant date | — |
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Official abstract text for this publication.
Embodiments of the present disclosure relate to systems and implements for sensing, analyzing, and displaying different soil parameters. A soil sensing system includes a mechanical component of an agricultural implement and at least one sensor disposed on the mechanical component. The sensor generates an electromagnetic field through a region of soil as the agricultural implement traverses a field. The sensor comprises at least one radar transmitter and at least one radar receiver and the sensor measures different soil parameters including a soil dielectric constant.
Opening claim text (preview).
What is claimed is: 1 . A method of measuring residue mat thickness of residue in a field comprising: traversing an implement across a field, wherein a radar transceiver or a combination of radar transmitter and a radar receiver is disposed on the implement for sensing residue on the field; measuring an amount of residue thickness at geo-referenced locations in the field; and storing the amount of residue thickness at each geo-referenced location in memory. 2 . The method of claim 1 , further comprising: displaying on a display residue thickness at each geo-referenced location. 3 . The method of claim 1 , further comprising: displaying on the display the residue thickness for an individual row as the implement is moved across the field. 4 . The method of claim 1 , further comprising: spatially displaying with a map on the display residue thickness ranges for multiple rows across the field. 5 . The method of claim 1 , wherein the implement is one of a tractor, a planter, a seeder, a tillage tool, a combine, a sprayer, and an agricultural toolbar. 6 . A method to generate processed soil data comprising: traversing an implement across a field, wherein a radar transceiver or a combination of radar transmitter and a radar receiver is disposed on the implement for sensing soil characteristics of the field; measuring, with the implement, a soil density change at a first depth; measuring, with the implement, a sensed moisture level at the first depth; and combining the soil density change with the sensed moisture level at the first depth to generate a first processed soil data. 7 . The method of claim 6 , further comprising: measuring, with the implement, a soil density change at a second depth; measuring, with the implement, a sensed moisture level at the second depth; and combining the soil density change with the sensed moisture level at the second depth to generate a second processed soil data. 8 . The method of claim 6 , wherein a depth of roots during harvest for in row versus out of row are determined based on soil density. 9 . The method of claim 6 , further comprising: measuring, with the implement, soil type or texture; and combining the soil density change with the soil type or texture to generate a third processed soil data. 10 . A method of measuring soil characteristics in a field comprising: traversing an implement across a field, wherein a radar transceiver or a combination of radar transmitter and a radar receiver is disposed on the implement for sensing soil characteristics of the field; measuring, with the implement, a depth of a first density layer at geo-referenced locations in the field; and storing the depth of the first density layer at each geo-referenced location in memory. 11 . The method of claim 10 , further comprising: displaying with a spatial map on a display the depth of the first density layer at each geo-referenced location. 12 . The method of claim 10 , further comprising: measuring a depth of a second density layer at geo-referenced locations in the field; and storing the depth of the second density layer at each geo-referenced location in memory.
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