{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-12010939","patent":{"patent_number":"US-12010939","title":"Systems and methods to predict harvest cycles using neural networks","assignee":null,"inventors":[],"filing_date":"2023-08-23T00:00:00.000Z","publication_date":"2024-06-18T00:00:00.000Z","cpc_codes":["A01B","A01B","G06N","G06N","G06N","G06V","G06V","G06V"],"num_claims":30,"abstract":"A method according to an embodiment includes receiving, at one or more processors, satellite image data, temperature measurement data, precipitation measurement data, and one or more agronomic parameters, associated with an agricultural land segment. The method also includes predicting, using the one or more processors and a first neural network, a biomass value associated with the agricultural land segment. The method also includes predicting, using the one or more processors and a second neural network, a sugar content value associated with the agricultural land segment. The method also includes predicting, using the one or more processors, a total sugar value associated with the agricultural land segment. Optionally, the method also includes optimizing harvest dates for a plurality of agricultural land segments that includes the agricultural land segment, based on one or more constraints."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Systems and methods to predict harvest cycles using neural networks","description":"A method according to an embodiment includes receiving, at one or more processors, satellite image data, temperature measurement data, precipitation measurement data, and one or more agronomic paramet","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-12010939","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-12010939","citation_suggestion":"Patentable. \"Systems and methods to predict harvest cycles using neural networks\" (US-12010939). https://patentable.app/patents/US-12010939","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-12010939","json":"https://patentable.app/api/llm-context/US-12010939","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T07:46:01.548Z"}