Predicate |
Object |
assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_b3c2e77f8dfda692ca527454d23ecc03 |
classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-3563 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30242 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N2021-1797 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10036 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30128 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N2021-8466 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N2201-1296 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-359 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30188 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081 |
classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-31 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-214 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K9-6256 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-70 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K9-6262 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0012 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-217 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-025 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K9-4661 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K9-6267 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-359 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K9-00657 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-188 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-24 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-3563 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-60 |
classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A01H5-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-70 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N33-02 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-46 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N21-359 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N21-3563 |
filingDate |
2019-07-23-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
grantDate |
2021-05-11-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_45bf597027342be3f56d29d77368af45 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_661854c885f6def19cc3dc0e14a00925 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_7fae714b1d6c0bee91c6776b71c38963 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_976cf0a7769306c3819f414492240c5b |
publicationDate |
2021-05-11-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber |
US-11003908-B2 |
titleOfInvention |
Remote-sensing-based detection of soybean aphid induced stress in soybean |
abstract |
A method of determining whether to treat soybeans for soybean aphids, the method includes collecting at least one image of a soybean canopy using one or more remote sensing instruments and processing the image into spectral reflectance data and selecting from the spectral reflectance data optimal spectral wavelength bands. The selected reflectance data is classified into one of a plurality of classification groupings using a machine learned classification model. To treat or not treat the soybean canopy for aphids is determined based on the classification of the reflectance data into one of the class groupings. |
priorityDate |
2019-07-23-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type |
http://data.epo.org/linked-data/def/patent/Publication |