http://rdf.ncbi.nlm.nih.gov/pubchem/patent/KR-20220168169-A

Outgoing Links

Predicate Object
assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_050fc7b82c5d17d9aeb63a7cdcc546b3
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-764
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-13
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-188
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-10
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V20-10
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V20-13
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N20-10
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-764
filingDate 2022-06-14-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_71a8252ec93a6c59284dffee78cbc1e4
publicationDate 2022-12-22-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber KR-20220168169-A
titleOfInvention Apparatus and method for detecting abandoned farmland using harmonic analysis and machine learning
abstract An embodiment of the present invention relates to a method and apparatus for detecting idle farmland using harmonic analysis and machine learning, wherein frequency coefficients obtained by harmonic time-series analysis of vegetation indices of satellite imagery are classified according to a machine learning classification method to classify idle farmland and rice paddies. , It relates to a method and device for detecting idle farmland that classifies fields.
priorityDate 2021-06-15-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

Incoming Links

Predicate Subject
isDiscussedBy http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419512635
http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID962

Total number of triples: 19.