http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114429592-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_20085566062de0b28f3edb0a5924f317 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-25 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A01G25-16 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-58 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N21-25 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V20-17 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A01G25-16 |
| filingDate | 2021-12-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_85e2acf9b02defeac7bbe47ea5201671 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_116f9c07fd1a5075e8a8466d1cac9489 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_43aea4b95d3151961aa16d827a39d610 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_336c85265d549df4231f9a1d89f0e0fe |
| publicationDate | 2022-05-03-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-114429592-A |
| titleOfInvention | A kind of automatic irrigation method and equipment based on artificial intelligence |
| abstract | The invention discloses an automatic irrigation method and equipment based on artificial intelligence, belongs to the technical field of artificial intelligence, and is used for solving the technical problems of low utilization rate of water resources in farmland irrigation and low degree of automation in irrigation areas at present. The method includes: regularly inspecting the irrigation area by a drone equipped with a hyperspectral camera, and collecting several hyperspectral images; segmenting vegetation pixels and soil pixels in several hyperspectral images to obtain vegetation hyperspectral images and soil hyperspectral images ; Through the trained vegetation moisture detection model, identify the vegetation hyperspectral image to obtain the vegetation moisture content; and through the trained soil moisture detection model, identify the vegetation hyperspectral image to obtain the soil moisture content; Obtain the preset irrigation area The predicted precipitation in time; the vegetation moisture content, soil moisture content, and predicted precipitation are sent to the irrigation decision-making system to determine whether to irrigate the irrigation area. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-116403154-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115240126-B http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115240126-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-116050679-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115443889-A |
| priorityDate | 2021-12-30-04:00^^<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/compound/CID962 http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419512635 |
Total number of triples: 25.