Machine learning method and system for predicting key agricultural field management practices
US-2024362570-A1 · Oct 31, 2024 · US
US2026080483A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2026080483-A1 |
| Application number | US-202418889654-A |
| Country | US |
| Kind code | A1 |
| Filing date | Sep 19, 2024 |
| Priority date | Sep 19, 2024 |
| Publication date | Mar 19, 2026 |
| Grant date | — |
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
What the patent document calls the invention.
A short plain-language summary of the technical disclosure.
Who owns or filed the patent and who is credited as inventor.
Filing, priority, publication, and grant dates set the timeline.
The legal scope of protection — read this for what is actually claimed.
Technology tags used to group this patent with similar filings.
Prior art links and similar publications in this corpus.
Official abstract text for this publication.
An embodiment analyzes, to determine a value of a chemical compound, a first sensor data to determine a density of the chemical compound, where the chemical compound is emitted from a candidate underwater source in a water body where an operation of a floating farm operation is conducted. The embodiment performs a cost-benefit analysis using the value of the chemical compound and a cost of using the chemical compound in the operation of the floating farm. The embodiment causes, in response to the cost-benefit analysis justification for an upwelling movement, the upwelling movement of an upwelling apparatus to a submerged location in the water body. The embodiment causes, in response to the cost-benefit analysis justification for a farm relocation, the farm relocation of the floating farm to a surface location in the water body.
Opening claim text (preview).
What is claimed is: 1 . A computer-implemented method comprising: analyzing, to determine a value of a chemical compound, a first sensor data to determine a density of the chemical compound, wherein the chemical compound is emitted from a candidate underwater source in a water body where an operation of a floating farm operation is conducted; performing a cost-benefit analysis using the value of the chemical compound and a cost of using the chemical compound in the operation of the floating farm; causing, responsive to the cost-benefit analysis approving an upwelling movement, the upwelling movement of an upwelling apparatus to a submerged location in the water body; and causing, responsive to the cost-benefit analysis justification for a farm relocation, the farm relocation of the floating farm to a surface location in the water body. 2 . The computer-implemented method of claim 1 , further comprising: constructing a set of instructions to cause the upwelling movement; and transmitting the set of instructions to an Internet of Things (IoT) device associated with the upwelling apparatus, wherein the IoT device uses the set of instructions to cause an activation of a propulsion component of the upwelling apparatus, the propulsion component causing the upwelling movement. 3 . The computer-implemented method of claim 1 , further comprising: constructing a set of instructions to cause the farm relocation; and transmitting the set of instructions to an Internet of Things (IoT) device associated with the floating farm, wherein the IoT device uses the set of instructions to cause an activation of a propulsion component of the floating farm, the propulsion component causing the farm relocation. 4 . The computer-implemented method of claim 1 , further comprising: mapping, to produce a map as a part of analyzing, a set of candidate underwater locations, the candidate underwater source being a member of the set of candidate underwater locations, wherein each member of the set of candidate underwater locations has a corresponding density of the chemical compound being emitted, the map depicting densities and distribution of the chemical compound over an underwater area. 5 . The computer-implemented method of claim 1 , further comprising: forecasting a duration of viability corresponding to the candidate underwater source; and using, in the cost-benefit analysis, the duration. 6 . The computer-implemented method of claim 1 , further comprising: receiving the first sensor data from a submersible robotic sensing apparatus, wherein the submersible robotic sensing apparatus is monitoring light reflecting from an emission of the candidate underwater source. 7 . The computer-implemented method of claim 1 , further comprising: receiving the first sensor data from a space-based satellite sensing apparatus, wherein the satellite sensing apparatus is monitoring light reflecting from a surface of the water body, an emission of the candidate underwater source reaching said surface. 8 . The computer-implemented method of claim 1 , further comprising: forecasting a future crop growth stage in the operation of the floating farm, wherein the chemical compound is a nutrient for the future crop growth stage. 9 . The computer-implemented method of claim 1 , wherein the cost of using the chemical compound in the floating farm operation comprises: a cost of relocating the floating farm to the surface location on the water body from where the chemical compound can be upwelled from the candidate underwater source, and a cost of relocating the upwelling apparatus to the submerged location in the water body from where the chemical compound can be upwelled from the candidate underwater source. 10 . The computer-implemented method of claim 1 , wherein the cost of using the chemical compound is a cost of using the chemical compound in a future crop growth stage in the operation of the floating farm. 11 . The computer-implemented method of claim 1 , wherein the cost of using the chemical compound is a cost of using the chemical compound in a current crop growth stage in the operation of the floating farm. 12 . The computer-implemented method of claim 1 , further comprising: computing, as a part of performing the cost-benefit analysis, a ratio of the value of the chemical compound over a period and the cost of using the chemical compound in the operation of the floating farm for the period; and determining that the ratio is at least equal to a threshold ratio. 13 . The computer-implemented method of claim 1 , further comprising: causing, responsive to the cost-benefit analysis justification for a sensing relocation, the sensing relocation of a sensing apparatus to a location proximate to the candidate underwater source. 14 . A computer program product comprising: One or more computer readable storage media; and program instructions stored on the one or more storage media and configured to perform operations comprising: analyzing, to determine a value of a chemical compound, a first sensor data to determine a density of the chemical compound, wherein the chemical compound is emitted from a candidate underwater source in a water body where an operation of a floating farm operation is conducted; performing a cost-benefit analysis using the value of the chemical compound and a cost of using the chemical compound in the operation of the floating farm; causing, responsive to the cost-benefit analysis approving an upwelling movement, the upwelling movement of an upwelling apparatus to a submerged location in the water body; and causing, responsive to the cost-benefit analysis justification for a farm relocation, the farm relocation of the floating farm to a surface location in the water body. 15 . The computer program product of claim 14 , further comprising: constructing a set of instructions to cause the upwelling movement; and transmitting the set of instructions to an Internet of Things (IoT) device associated with the upwelling apparatus, wherein the IoT device uses the set of instructions to cause an activation of a propulsion component of the upwelling apparatus, the propulsion component causing the upwelling movement. 16 . The computer program product of claim 14 , further comprising: constructing a set of instructions to cause the farm relocation; and transmitting the set of instructions to an Internet of Things (IoT) device associated with the floating farm, wherein the IoT device uses the set of instructions to cause an activation of a propulsion component of the floating farm, the propulsion component causing the farm relocation. 17 . The computer program product of claim 14 , further comprising: mapping, to produce a map as a part of analyzing, a set of candidate underwater locations, the candidate underwater source being a member of the set of candidate underwater locations, wherein each member of the set of candidate underwater locations has a corresponding density of the chemical compound being emitted, the map depicting densities and distribution of the chemical compound over an underwater area. 18 . The computer program product of claim 14 , wherein the stored program instructions are stored in a computer readable storage device in a data processing system, and wherein the stored program instructions are transferred over a network from a remote data processing system. 19 . The computer program product of claim 14 , wherein the stored program instructions are stored in a com
Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals · CPC title
Agriculture; Fishing; Forestry; Mining · CPC title
Needs-based resource requirements planning or analysis · CPC title
Related publications grouped by family.
Answers are generated from the same data shown on this page.