http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114494689-A
Outgoing Links
Predicate | Object |
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assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_094fb3cf0de39d95a2ee01ec42a5fd88 |
classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-31 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2411 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-55 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-253 |
classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-80 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N21-31 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V20-68 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-30 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-764 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-58 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N21-55 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-54 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-25 |
filingDate | 2022-01-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_419678fb1b0ca7990afe77dd48eb5104 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_04de92285f470cd2e7a7e11746053992 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_910e9b97a8092edfed27538a671528e2 |
publicationDate | 2022-05-13-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber | CN-114494689-A |
titleOfInvention | Identification method of drought stress in tomato |
abstract | The invention discloses a method for identifying tomato drought stress, which mainly comprises: collecting hyperspectral images of tomato samples in different drought states, selecting an area of interest, and obtaining original spectral data; reducing dimension and denoising the original spectral data, And extract important band spectral features and important texture features; fuse the important band spectral features and important texture features to establish and train a tomato drought stress classification model; collect hyperspectral images of tomato to be identified, and extract its spectral features and texture features as The input amount is input into the tomato drought stress classification model, and the identification result of tomato drought stress is obtained. The identification method has simple operation, strong usability and high detection accuracy, and can realize rapid and non-destructive identification of the drought state of tomato, can judge the state of the whole plant, and evaluate the degree of drought of the plant, so as to realize the rapid and non-destructive and accurate monitoring of the drought stress state of tomato at the seedling stage, and to guide the tomato Provide the basis for water irrigation management in agricultural production. |
priorityDate | 2022-01-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
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isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419512635 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID962 |
Total number of triples: 26.