http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112699732-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_f09f3a813bd85ebf544576abc7f54b64 http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_1fdf74c3ae81ec7d36363488fb13474f |
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-194 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-25 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T5-006 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-188 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T3-4038 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T5-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T3-40 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N21-25 |
| filingDate | 2020-12-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b103048d2f55b8d05ffd61d666a95e82 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_373db1c0b95fad95fc4be634a8a704a2 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_44afaea4896ee8f43490bab48baedd58 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_fb33fab900286261957655ad4b84eaa7 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_8e670dbed12b93ef1639e94a7c0a1f45 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_34b4dd5fab28b1a9f2937e83a1efeabd http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_2b9bb0892b1c495f15373547942e1e2c http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_25ae28b8e71ae2e03bfdfea22208d942 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_26691b312246cec7e5af28f01294ed4c |
| publicationDate | 2021-04-23-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-112699732-A |
| titleOfInvention | Method and system for predicting total nitrogen content of tobacco leaves in field based on hyperspectrum of unmanned aerial vehicle |
| abstract | The invention belongs to the technical field of tobacco production, and particularly relates to a method and a system for predicting the total nitrogen content of tobacco leaves in a field based on hyperspectral of an unmanned aerial vehicle. The method comprises the steps that hyperspectral image data of field tobacco leaves are obtained in real time through an unmanned aerial vehicle; coordinate loading is carried out on the hyperspectral image data, and a corresponding original spectrum curve is extracted and processed; acquiring an estimated value of the total nitrogen content of tobacco leaves in a field sample, and constructing a prediction model of the total nitrogen content of the tobacco leaves in the field by combining a spectral characteristic curve according to the estimated value of the total nitrogen content of the tobacco leaves in the field sample; the total nitrogen content prediction data corresponding to the field tobacco leaves are generated, compared with most of traditional indoor tobacco leaf observation researches, the total nitrogen content of the tobacco leaves can be estimated by using the constructed model only by acquiring hyperspectral data of the tobacco leaves aiming at the field tobacco leaves with large areas, and the method for constructing the model is simple in calculation, strong in practicability and rapid, and reduces large-area damage to tobacco plants. |
| priorityDate | 2020-12-09-04:00^^<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: 29.