http://rdf.ncbi.nlm.nih.gov/pubchem/patent/AU-2016365336-A1
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_138d134e402bcd1c2152370ccb09cb62 |
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-126 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-006 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q10-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q50-02 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N7-01 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N21-27 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A01C21-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N21-33 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N21-35 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N33-02 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A01B79-00 |
| filingDate | 2016-12-01-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_83e96bf12016f03618f3c8aa8592233c http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f5af35eef64ef4e68dd00c649c0dcc78 |
| publicationDate | 2018-06-28-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | AU-2016365336-A1 |
| titleOfInvention | Forecasting field level crop yield during a growing season |
| abstract | A method for predicting field specific crop yield recommendations. A server computer system receives over a network, digital agricultural data records, including remotely sensed spectral properties of plants and soil moisture records. The computer system aggregates the digital records to create and store geo-specific time series over a specified time. The computer system selects representative features from the geo-specific time series and creates, for each specific geographic area, a covariate matrix comprising the representative features. The computer system assigns a probability value to a component group in a set of parameter component groups, where each component group includes regression coefficients calculated from a probability distribution. The computer system generates the probability distributions used to determine the regression coefficients, the probability distribution used to generate the error term is defined with a mean parameter set at zero and a variance parameter set to a field specific bias coefficient. |
| priorityDate | 2015-12-02-04:00^^<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/SID419556970 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID947 |
Total number of triples: 24.