| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_e757fd4fedc4fe825bb81b1b466a0947 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10032
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10024
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K2209-17
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-68
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30188
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20084
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-214
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0016
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A01G22-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K9-00657
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K9-6256
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-188
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-774 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A01G22-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-774
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N20-00 |
| filingDate |
2016-12-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate |
2020-03-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_19c8f4e13fd17a2f058d82dbc87ed1c2
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_28c3fb3db4dde8156bfbf1f5f219dfc7
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_047cb54f90c3082126d94009794512b2
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_98bdb149d9d7b33bb48bdb4b40790915 |
| publicationDate |
2020-03-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-10586105-B2 |
| titleOfInvention |
Method and system for crop type identification using satellite observation and weather data |
| abstract |
A computer-implemented method for crop type identification using satellite observation and weather data. The method includes extracting current and historical data from pixels of satellite images of a target region, generating temporal sequences of vegetation indices, based on the weather data, converting each timestamp of the temporal sequences into a modified temporal variable correlating with actual crop growth, training a classifier using a set of historical temporal sequences of vegetation indices with respect to the modified temporal variable as training features and corresponding historically known crop types as training labels, identifying a crop type for each pixel location within the satellite images using the trained classifier and the historical temporal sequences of vegetation indices with respect to the modified temporal variable for a current crop season, and estimating a crop acreage value by aggregating identified pixels associated with the crop type. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2023090988-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2022020042-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11321821-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11562388-B2 |
| priorityDate |
2016-12-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |