# US 2026/0076284 A1 · Precision agriculture using scene matching > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2026/0076284 A1 - Document ID: US20260076284A1 - Status: Published application - Kind: A1 - Application number: 19/286,457 - Filed: 2025-07-31 - Published: 2026-03-19 - Earliest claimed: 2024-09-18 - Assignees: Deere & Company - Applicants: Deere & Company - Inventors: Eric Taipale - Web page: https://patentgrep.com/patent/US20260076284A1 ## CPC - A01B 79/005: {Precision agriculture} - A01B 79/02: combined with other agricultural processing, e.g. fertilising, planting - A01M 21/04: Apparatus for destruction by steam, chemicals, burning, or electricity {(apparatus for burning A01M15/00)} - A01M 21/043: {by chemicals} - G06V 10/62: relating to a temporal dimension, e.g. time-based feature extraction; Pattern tracking - G06V 20/17: taken from planes or by drones - G06V 20/188: {Vegetation} - G06V 20/56: exterior to a vehicle by using sensors mounted on the vehicle - Y02A 40/10: in agriculture - A01B: SOIL WORKING IN AGRICULTURE OR FORESTRY; PARTS, DETAILS, OR ACCESSORIES OF AGRICULTURAL MACHINES OR IMPLEMENTS, IN GENERAL (making or covering furrows or holes for sowing, planting or manuring A01C5/00; mowers convertible to soil working apparatus or capable of soil working A01D42/04; mowers combined with soil working implements A01D43/12; soil working for engineering purposes E01, E02, E21) - A01M: CATCHING, TRAPPING OR SCARING OF ANIMALS (appliances for catching swarms or drone-catching A01K57/00; fishing A01K69/00 - {A01K99/00}; biocides, pest repellants or attractants A01N); APPARATUS FOR THE DESTRUCTION OF NOXIOUS ANIMALS OR NOXIOUS PLANTS - G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING - Y02A: TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE ## Abstract Methods and systems for use in precision agriculture that use scene comparison to determine a match between a current captured scene by a scene capture system on a precision agriculture machine and an off-platform previously captured scene captured by an off-platform scene capture system separate from the precision agriculture machine. The scenes include at least one item of interest and one or more additional features. When a match between scenes is determined, the precision agriculture machine is used to take an action that impacts the at least one item of interest in the agricultural field. ## Claims ### Claim 1 A precision agriculture method, comprising: capturing a current scene of an agricultural field using an on-platform scene capture system mounted on a precision agriculture machine located in the agricultural field, the captured current scene including at least one item of interest, and the precision agriculture machine includes previously captured scenes of the agricultural field that are stored on the precision agriculture machine; providing the captured current scene to a computerized scene comparison system on the precision agriculture machine, and using the computerized scene comparison system to compare the captured current scene to the previously captured scenes of the agricultural field to determine a match between the captured current scene and one of the previously captured scenes; and when a match is determined, using the precision agriculture machine to take an action that impacts the at least one item of interest in the agricultural field. ### Claim 2 (depends on 1) The precision agriculture method of claim 1, wherein the on-platform scene capture system comprises a camera, and the captured current scene and the previously captured scenes are images. ### Claim 3 (depends on 1) The precision agriculture method of claim 1, wherein the previously captured scenes that are stored on the precision agriculture machine comprise one or more of: entire captured scenes; portions of captured scenes; a set or list of feature descriptors and their relative locations in captured scenes; or data that is a representation of captured scenes. ### Claim 4 (depends on 1) The precision agriculture method of claim 1, wherein the captured current scene includes at least two additional features, and wherein comparing the captured current scene to the previously captured scenes of the agricultural field comprises locating the at least two additional features in at least one of the previously captured scenes. ### Claim 5 (depends on 1) The precision agriculture method of claim 1, wherein comparing the captured current scene to the previously captured scenes of the agricultural field comprises: comparing a list of feature descriptors and feature locations of features in the captured scene to a list of feature descriptors and feature locations of features in the previously captured scenes. ### Claim 6 (depends on 1) The precision agriculture method of claim 1, wherein the at least one item of interest comprises at least one weed, the precision agriculture machine comprises a herbicide sprayer, and the action comprises spraying the at least one weed with herbicide. ### Claim 7 (depends on 1) The precision agriculture method of claim 1, wherein the at least one item of interest comprises at least one weed, the precision agriculture machine comprises an energy applicator, and the action comprises applying energy to the at least one weed using the energy applicator. ### Claim 8 (depends on 7) The precision agriculture method of claim 7, wherein the energy applicator comprises: a laser and the action comprises applying laser energy to the at least one weed; a voltage applicator and the action comprises applying a voltage to the at least one weed; a fire source and the action comprises applying fire to the at least one weed; or an oil source and the action comprises applying oil to the at least one weed. ### Claim 9 (depends on 1) The precision agriculture method of claim 1, wherein the at least one item of interest comprises at least one weed, the precision agriculture machine comprises a mechanical weed destruction system, and the action comprises removing or destroying the at least one weed using the mechanical weed destruction system. ### Claim 10 (depends on 1) The precision agriculture method of claim 1, further comprising capturing the previously captured scenes using an off-platform scene capture system that is separate from the precision agriculture machine, and storing the previously captured scenes on the precision agriculture machine. ### Claim 11 (depends on 10) The precision agriculture method of claim 10, wherein the off-platform scene capture system is mounted on an unmanned aerial vehicle. ### Claim 12 (depends on 1) The precision agriculture method of claim 1, wherein the capturing of the current scene occurs within 7 days or less of capture of the previously captured scenes. ### Claim 13 (depends on 12) The precision agriculture method of claim 12, wherein the capturing of the current scene occurs within 2 days or less of capture of the previously captured scenes. ### Claim 14 (depends on 4) The precision agriculture method of claim 4, further comprising determining a relative position of the at least one item of interest in the at least one previously captured scene and the at least two additional features in the at least one previously captured scene, and providing the relative positions to the precision agriculture machine prior to capturing the current scene. ### Claim 15 (depends on 1) The precision agriculture method of claim 1, further comprising providing positional information of each previously captured scene to the precision agriculture machine. ### Claim 16 (depends on 1) The precision agriculture method of claim 1, further comprising providing positional information of the captured current scene to the precision agriculture machine. ### Claim 17 (depends on 11) The precision agriculture method of claim 11, further comprising detecting, in each of the previously captured scenes, the at least one item of interest and at least one additional feature using an off-platform captured scene analysis system on the unmanned aerial vehicle. ### Claim 18 (depends on 11) The precision agriculture method of claim 11, further comprising detecting, in each of the previously captured scenes, the at least one item of interest and at least one additional feature using an off-platform captured scene analysis system separate from the unmanned aerial vehicle and separate from the precision agriculture machine.