{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11961289","patent":{"patent_number":"US-11961289","title":"Computer vision-based yield-to-picking area mapping for horticultural product","assignee":null,"inventors":[],"filing_date":"2021-07-15T00:00:00.000Z","publication_date":"2024-04-16T00:00:00.000Z","cpc_codes":["G06V","G06N","G06N","G06N","G06Q","G06V","G06V","G06V","A01B"],"num_claims":19,"abstract":"Embodiments of the disclosed technologies are capable of inputting, to a machine-learned model that has been trained to recognize a horticultural product in digital imagery, digital video data comprising frames that represent a view of the horticultural product in belt-assisted transit from a picking area of a field to a harvester bin; outputting, by the machine-learned model, annotated video data; using the annotated video data, computing quantitative data comprising particular counts of the individual instances of the horticultural product associated with particular timestamp data; using the timestamp data, mapping the quantitative data to geographic location data to produce a digital yield map; causing display of the digital yield map on a field manager computing device."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Computer vision-based yield-to-picking area mapping for horticultural product","description":"Embodiments of the disclosed technologies are capable of inputting, to a machine-learned model that has been trained to recognize a horticultural product in digital imagery, digital video data compris","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11961289","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-11961289","citation_suggestion":"Patentable. \"Computer vision-based yield-to-picking area mapping for horticultural product\" (US-11961289). https://patentable.app/patents/US-11961289","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11961289","json":"https://patentable.app/api/llm-context/US-11961289","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T06:30:39.248Z"}