# US 2025/0094906 A1 · Methods and systems for agricultural moisture management > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2025/0094906 A1 - Document ID: US20250094906A1 - Status: Published application - Kind: A1 - Application number: 18/467,100 - Filed: 2023-09-14 - Published: 2025-03-20 - Earliest claimed: 2023-09-14 - Applicants: Dark Horse Ag Ventures Ltd. - Inventors: Tyler Lefley; Garrett Fraser - Web page: https://patentgrep.com/patent/US20250094906A1 ## CPC - G06Q 10/0637: 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 - G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR ## Abstract Computer-implemented methods and systems for soil moisture management. The method comprises obtaining a plurality of seasonal yield datasets for a field. The seasonal yield datasets contain plurality of point yields corresponding to a plurality of locations of the field. The seasonal yield datasets are normalized. The method includes obtaining moisture data for the field and determining a moisture content value for each location in the field based on the normalized plurality of seasonal yield datasets and the moisture data. A productivity map for the field is then generated. ## Claims ### Claim 1 A method for soil moisture management, the method comprising: obtaining a plurality of seasonal yield datasets for a field, each of the plurality of seasonal yield datasets containing a respective plurality of point yields corresponding to a plurality of locations of the field; normalizing the plurality of seasonal yield datasets; obtaining moisture data for the field; determining a moisture content value for each location in the field based on the normalized plurality of seasonal yield datasets and the moisture data; and generating a productivity map for the field. ### Claim 2 (depends on 1) The method of claim 1, wherein the obtaining moisture data for the field comprises obtaining the moisture data from a sensor. ### Claim 3 (depends on 1) The method of claim 1, wherein the moisture data for the field is obtained by one of a soil moisture probe, a proximal sensor, a remote sensor, and any other source or method. ### Claim 4 (depends on 2) The method of claim 2, wherein the sensor is one of a precipitation monitoring probe, a soil moisture probe, and a proximal sensor. ### Claim 5 (depends on 2) The method of claim 2, wherein the sensor is one of a remote sensing satellite, an airplane, and an unmanned aerial vehicle (UAV). ### Claim 6 (depends on 4) The method of claim 4, further comprising: positioning the sensor in the field based on the normalized plurality of seasonal yield datasets. ### Claim 7 (depends on 6) The method of claim 6, wherein the generating the productivity map further comprises, for each location of the plurality of locations: determining a yield potential of the location based on the moisture data for the field, measured soil properties, and an amount of fertilizer applied to the location. ### Claim 8 (depends on 7) The method of claim 7, further comprising: determining a nutrient requirement for each location based on the productivity map. ### Claim 9 (depends on 8) The method of claim 8, wherein the moisture data is in a unit of measurement. ### Claim 10 (depends on 9) The method of claim 9, further comprising: converting the moisture data to predicted output of a type of crop. ### Claim 11 (depends on 3) The method of claim 3, further comprising: determining a yield potential for a particular location in the field corresponding to a sensor, proximal sensing, satellites, and UAV; and applying forecasting regression to the yield potential for the particular location to determine the yield potential. ### Claim 12 (depends on 9) The method of claim 9, further comprising: determining a type of crop in the field for a current season and the type of crop associated with the plurality of seasonal yield datasets. ### Claim 13 (depends on 12) The method of claim 12, wherein the type of crop is at least one of wheat, canola, barley, oats, peas, corn, cotton, and soybeans, and wherein a water use efficiency is different for different types of crop. ### Claim 14 (depends on 1) The method of claim 1, wherein the plurality of seasonal yield datasets comprises data for at least 3 seasons. ### Claim 15 (depends on 1) The method of claim 1, further comprising: obtaining a multispectral image collected from a satellite, airplane, or UAV of the field; identifying at least one location in the field with a selected yield potential that exceeds a predetermined threshold; and determining nutrients to be applied to each location in the field. ### Claim 16 (depends on 15) The method of claim 15, further comprising: applying the nutrients to each location in the field. ### Claim 17 (depends on 1) The method of claim 1, wherein the moisture data is aggregate data for the field. ### Claim 18 A system for moisture management, the system comprising: a memory storing at least one seasonal yield dataset for a field, containing a plurality of point yields corresponding to a plurality of locations in a field; and a processor, the processor configured to: obtain a plurality of seasonal yield datasets for a field, each of the plurality of seasonal yield datasets containing a respective plurality of point yields corresponding to a plurality of locations of the field; normalize the plurality of seasonal yield datasets; obtain moisture data for the field; determine a moisture content value for each location in the field based on the normalized plurality of seasonal yield datasets and the moisture data; and generate a productivity map for the field. ### Claim 19 A non-transitory computer readable medium storing instructions executable by a computer processor, the instructions when executed by the computer processor cause the computer processor to carry out a method of soil moisture management, the method comprising: obtaining a plurality of seasonal yield datasets for a field, each of the plurality of seasonal yield datasets containing a respective plurality of point yields corresponding to a plurality of locations of the field; normalizing the plurality of seasonal yield datasets; obtaining moisture data for the field; determining a moisture content value for each location in the field based on the normalized plurality of seasonal yield datasets and the moisture data; and generating a productivity map for the field.