| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_08dde60e3e0ca1e6ffaa5143e5c8477a |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-784
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-743
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-735
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-24147 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F16-74
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F16-783
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F16-735
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 |
| filingDate |
2021-06-03-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f15f235f6b5295723ddc660030347211
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_fd7ea9932abb16e8f14f7560c30d35de
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_d0de5ab5505345181daa2eab7210ee24
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_fb6782dc22f720545936f91d2b4b0ba9
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_578c2f77e1f0391209c418065f9f0bc7
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_2efe3869a54d405629fea157aa523a65 |
| publicationDate |
2021-09-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
CN-113378004-A |
| titleOfInvention |
Farmer's labor behavior identification method and device, equipment and medium based on FANet |
| abstract |
The invention relates to a FANet-based identification method and device of farmers' labor behavior, electronic equipment and storage medium. The method includes: establishing a data set of farmers' labor movement behavior; building a FANet model; inputting the data set of farmers' labor movement behavior into the FANet model for training; and predicting the farmers' labor activities based on the trained FANet model Behavioral recognition results. The invention records a series of movement and action changes of farmers during work through video, and recognizes the labor action type of the observer through deep learning. On the one hand, it can truly and objectively record the labor behavior of farmers, which can provide real and objective data for farm management and agricultural product traceability; at the same time, it can effectively reduce storage space and provide structured data for easy analysis by directly storing videos. Manual supervision can greatly improve efficiency and reduce labor costs. |
| priorityDate |
2021-06-03-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |