Predicate |
Object |
assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_cdf0672b7df6edf4b4eb6a25af4fa906 |
classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04R3-005 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G05B2219-45113 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04R1-406 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10L25-66 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04L67-10 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B2503-40 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04L67-12 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04L67-1097 |
classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N5-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04R3-005 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-0022 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10L17-26 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-742 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-48 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04R1-406 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10L25-66 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G05B19-406 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-4803 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A01K29-005 |
classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N5-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N20-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A01K29-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G10L25-66 |
filingDate |
2021-06-03-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3c23983e2c919e8933d5ff5a27317169 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5677e9c0b6904c396affbcab5fdf20fe http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e8e75ab113336f5cf236aec8badc9ec0 |
publicationDate |
2021-09-23-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber |
US-2021289755-A1 |
titleOfInvention |
Methods and systems for using sound data to analyze health condition and welfare states in collections of farm animals |
abstract |
Systems and methods are described for selecting a sound type of interest from a first (e.g., master/global) machine learning library comprising information derived from reference audio stream data acquired from a plurality of farm animal operation reference sound monitoring events, including from a first farm animal operation monitoring event of a first farm animal operation, wherein the sound type of interest is associated with a condition state of interest of a first collection of farm animals. Further, information associated with the selected sound type of interest can be included a second machine learning library, wherein the second machine learning library is operational on an edge computing device located in proximity to a second farm animal operation. Audio stream data can be acquired from the second farm animal operation in a second farm animal operation monitoring event, and processed using the second machine learning library information to determine whether the sound type of interest is present in the acquired audio stream data, thereby generating information associated with the presence or absence of the condition during the second farm animal operation monitoring event. |
isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115250950-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2021089947-A1 |
priorityDate |
2019-06-04-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type |
http://data.epo.org/linked-data/def/patent/Publication |