http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114882249-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_20fda0e5f5e7f1c84119ec805985ac1d |
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/Y02A40-10 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-214 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-31 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-82 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-58 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-774 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-54 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N21-31 |
| filingDate | 2022-03-28-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_1787dc6eee694f8684ee9d08de29526c |
| publicationDate | 2022-08-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-114882249-A |
| titleOfInvention | A method and system for quality detection of seed varieties based on hyperspectral |
| abstract | The invention belongs to the technical field of crop detection, and discloses a method and a system for detecting the quality of seed varieties based on hyperspectral. The prediction model of grain species based on the integrated neural network; at the same time, combined with the morphological and surface texture information of grain species to assist in the common discrimination of spectral data, the hyperspectral imaging method was used for rapid non-destructive detection of grain species. The invention simultaneously obtains image features and spectral features based on hyperspectral images, and assists the common discrimination of spectral data in combination with grain shape and surface texture information, thereby improving the accuracy of grain identification; and selecting multiple preprocessing methods improves the accuracy of the detection model. stability and stability. The invention realizes the non-destructive component detection of grain seeds based on the spectrum-component correlation model. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115965953-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115965953-B |
| priorityDate | 2022-03-28-04:00^^<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/SID419554004 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID186907 |
Total number of triples: 23.