{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-12008744","patent":{"patent_number":"US-12008744","title":"Mapping field anomalies using digital images and machine learning models","assignee":null,"inventors":[],"filing_date":"2019-12-09T00:00:00.000Z","publication_date":"2024-06-11T00:00:00.000Z","cpc_codes":["G06T","A01B","G06N","G06N","G06T","G06V","G06V","G06V","A01B","G06T","G06T","G06T","G06T","G06T","G06T","G06T","G06T","G06V","G06V"],"num_claims":18,"abstract":"A computer-implemented method for generating an improved map of field anomalies using digital images and machine learning models is disclosed. In an embodiment, a method comprises: obtaining a shapefile that defines boundaries of an agricultural plot and boundaries of the field containing the plot; obtaining a plurality of plot images within the field from one or more image capturing devices that are located within the boundaries of the field; calibrating and pre-processing the plurality of plot images to create a plot map of the agricultural plot at a plot level; based on the plot map of the agricultural plot, generating a plot grid; based on the plot grid and the plot map, generating a plurality of plot tiles; based on the plurality of plot tiles, generating, using a first machine learning model and a plurality of first image classifiers corresponding to one or more first anomalies, a set of classified plot images that depicts at least one anomaly; based on the set of classified plot images, generating a plot anomaly map for the agricultural plot; transmitting the plot anomaly map to one or more controllers that control one or more agricultural machines or database systems to perform agricultural functions on the agricultural plot."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Mapping field anomalies using digital images and machine learning models","description":"A computer-implemented method for generating an improved map of field anomalies using digital images and machine learning models is disclosed. In an embodiment, a method comprises: obtaining a shapefi","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-12008744","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-12008744","citation_suggestion":"Patentable. \"Mapping field anomalies using digital images and machine learning models\" (US-12008744). https://patentable.app/patents/US-12008744","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-12008744","json":"https://patentable.app/api/llm-context/US-12008744","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T12:47:50.899Z"}