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A Method And Apparatus For Determining The Identity Of An Animal Of A Herd Of Animals - EP4018362

The patent EP4018362 was granted to Dairymaster on Nov 13, 2024. The application was originally filed on Aug 21, 2020 under application number EP20764320A. The patent is currently recorded with a legal status of "Granted And Under Opposition".

EP4018362

DAIRYMASTER
Application Number
EP20764320A
Filing Date
Aug 21, 2020
Status
Granted And Under Opposition
Oct 11, 2024
Publication Date
Nov 13, 2024
External Links
Slate, Register, Google Patents

Patent Summary

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STRAWMANAug 13, 2025PETERADMISSIBLE

Patent Citations (9) New

Patent citations refer to prior patents cited during different phases such as opposition or international search.

Citation PhasePublication Number
EXAMINATIONEP3316680
INTERNATIONAL-SEARCH-REPORTEP3316680
INTERNATIONAL-SEARCH-REPORTSE1800191
INTERNATIONAL-SEARCH-REPORTUS2015181836
OPPOSITIONSE1800191
OPPOSITIONUS2018082016
OPPOSITIONUS2018228129
OPPOSITIONUS2020367470
OPPOSITIONWO2019110182

Non-Patent Literature (NPL) Citations (6) New

NPL citations refer to non-patent references such as research papers, articles, or other publications cited during examination or opposition phases.

Citation PhaseReference Text
INTERNATIONAL-SEARCH-REPORT- ZHAO K. ET AL, "Automatic lameness detection in dairy cattle based on leg swing analysis with an image processing technique", COMPUTERS AND ELECTRONICS IN AGRICULTURE, AMSTERDAM, NL, (20180501), vol. 148, doi:10.1016/j.compag.2018.03.014, ISSN 0168-1699, pages 226 - 236, XP055780490 [X] 36-38,49,50,134-136,148,149 * abstract * * figure 6 * * page 6, from the left column, the second paragraph, starting "3.1. Distribution of features among classes", the right column, the first paragraph *
INTERNATIONAL-SEARCH-REPORT- RODRÍGUEZ ALVAREZ JUAN ET AL, "Body condition estimation on cows from depth images using Convolutional Neural Networks", COMPUTERS AND ELECTRONICS IN AGRICULTURE, AMSTERDAM, NL, (20181201), vol. 155, doi:10.1016/j.compag.2018.09.039, ISSN 0168-1699, pages 12 - 22, XP055781139 [A] 36-38,49,50,134-136,148,149 * abstract * * figures 1, 2; table 2 * * page 5, from the left column, the last paragraph, starting "3.2.2. Model implementation", to the right column, the first paragraph *
INTERNATIONAL-SEARCH-REPORT- BERGAMINI LUCA ET AL, "Multi-views Embedding for Cattle Re-identification", 2018 14TH INTERNATIONAL CONFERENCE ON SIGNAL-IMAGE TECHNOLOGY & INTERNET-BASED SYSTEMS (SITIS), IEEE, (20181126), doi:10.1109/SITIS.2018.00036, pages 184 - 191, XP033545613 [Y] 61-66 * abstract * * page 2, right column, first paragraph *
INTERNATIONAL-SEARCH-REPORT- SONG X ET AL, "Automated body condition scoring of dairy cows using 3-dimensional feature extraction from multiple body regions", JOURNAL OF DAIRY SCIENCE, (201905), vol. 102, no. 5, doi:10.3168/JDS.2018-15238, ISSN 0022-0302, pages 4294 - 4308, XP085657265 [A] 36-38,49,50,134-136,148,149 * abstract * * page 10, from the left column, the first pragraph, to the right column, the second paragraph * * figure 2 *
OPPOSITION- Anonymous, "Implementation of ISO 11785:1996 Radio-frequency identification of animals — Technical concept", BRITISH STANDARD BS ISO 11785:1996, (19970315), XP093307070
OPPOSITION- K Zhao et al., "Automatic lameness detection in dairy cattle based on leg swing analysis with an image processing technique", Computers and Electronics in Agriculture, (20180501), vol. 148, doi:10.1016/j.compag.2018.03.014, XP055780490

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