http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114088642-A
Outgoing Links
Predicate | Object |
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assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_274bac1a598abd772480fad370db1983 http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_5b57ae2e13083706f3ba41396276061b |
classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-31 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-25 |
classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N21-31 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N21-25 |
filingDate | 2021-11-19-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a51faa671849b652e890a878648be0aa http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_423df360dd7fb71f873bf872bb6decdb |
publicationDate | 2022-02-25-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber | CN-114088642-A |
titleOfInvention | Crop disease leaf chlorophyll content survey device |
abstract | The invention belongs to the technical field of crop observation, and discloses a device for measuring chlorophyll content in crop disease leaves, which comprises a satellite remote sensing module, a server module, a remote sensing image processing module, a crop disease identification module, a spectrum detection module, a chlorophyll content evaluation module and a main control module; the crop disease identification module is used for detecting and identifying the disease grade of the crop; the spectrum detection module performs spectrum detection on crop leaves in a detection area by using a ground spectrometer, and inputs the obtained leaf spectrum into the chlorophyll content estimation module; and the chlorophyll content evaluation module is used for estimating the chlorophyll content of the leaf spectrum. According to the method, a remote sensing technology is introduced into estimation of the chlorophyll content of the crop leaves to obtain the chlorophyll content of the crop leaves, so that the remote sensing measurement precision of the crop diseases can be effectively improved, the problem of low precision of the chlorophyll detection result of the diseased crops is solved, the crop diseases can be rapidly identified and statistically analyzed, and the disease prevention and control efficiency is improved. |
priorityDate | 2021-11-19-04:00^^<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/SID419587070 |
Total number of triples: 16.