{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11468669","patent":{"patent_number":"US-11468669","title":"Mapping soil properties with satellite data using machine learning approaches","assignee":null,"inventors":[],"filing_date":"2019-12-09T00:00:00.000Z","publication_date":"2022-10-11T00:00:00.000Z","cpc_codes":["G06V","A01B","G06N","G06N","G06N","G06N","G06N","G06V"],"num_claims":20,"abstract":"In an embodiment, a computer-implemented method for predicting subfield soil properties for an agricultural field comprises: receiving satellite remote sensing data that includes a plurality of images capturing imagery of an agricultural field in a plurality of optical domains; receiving a plurality of environmental characteristics for the agricultural field; generating a plurality of preprocessed images based on the plurality of satellite remote sensing data and the plurality of environmental characteristics; identifying, based on the plurality preprocessed images, a plurality of features of the agricultural field; generating a subfield soil property prediction for the agricultural field by executing one or more machine learning models on the plurality of features; transmitting the subfield soil property prediction to an agricultural computer system."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Mapping soil properties with satellite data using machine learning approaches","description":"In an embodiment, a computer-implemented method for predicting subfield soil properties for an agricultural field comprises: receiving satellite remote sensing data that includes a plurality of images","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11468669","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-11468669","citation_suggestion":"Patentable. \"Mapping soil properties with satellite data using machine learning approaches\" (US-11468669). https://patentable.app/patents/US-11468669","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11468669","json":"https://patentable.app/api/llm-context/US-11468669","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T18:47:41.299Z"}