http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111462044-B
Outgoing Links
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|---|---|
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30188 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10004 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/Y02A40-25 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20084 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0002 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-11 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-136 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-62 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q50-02 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-90 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-006 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-11 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q50-02 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-62 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-90 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-136 |
| filingDate | 2020-03-05-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2022-11-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2022-11-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-111462044-B |
| titleOfInvention | Greenhouse strawberry detection and maturity evaluation method based on deep learning model |
| abstract | The invention discloses a greenhouse strawberry detection and maturity evaluation method based on a deep learning model. Take photos to get the original image set; perform image preprocessing on the images in the original image set to obtain the training data set; input the training data set into the improved ResNet network for training and learning, and obtain the strawberry segmentation model; input the test data into the trained strawberry segmentation Model, get the separation result map; use PSOA technology and Otsu algorithm to search for the best threshold value, carry out secondary segmentation on strawberry fruit parts, and realize maturity analysis. The invention combines machine vision and deep learning technology to accurately extract the number of strawberries and judge their maturity by analyzing the orthophoto image obtained by the self-designed image acquisition platform, with good accuracy and strong robustness. |
| priorityDate | 2020-03-05-04:00^^<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/substance/SID419545405 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID91778 |
Total number of triples: 29.