SYSTEM AND METHOD FOR HORTICULTURE VIABILITY PREDICTION AND DISPLAY
A system and method is disclosed for plant maintenance, identification and viability scoring. An application is located on consumer devices connected to the server. Images may be submitted to the server to identify a plant type through convolutional neural network image recognition. The invention us...
Gespeichert in:
| Hauptverfasser: | , , , |
|---|---|
| Format: | Patent |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | |
| container_start_page | |
| container_title | |
| container_volume | |
| creator | Bauer, Bradley W Gentry, Shawn Levi, Andrew Schultz, George R |
| description | A system and method is disclosed for plant maintenance, identification and viability scoring. An application is located on consumer devices connected to the server. Images may be submitted to the server to identify a plant type through convolutional neural network image recognition. The invention uses another artificial neural network to predict a plant's viability score or optionally, arrives at a correlation value based on a fast abbreviation set of the plant profile and third party data. The server compares plant related input and local climactic data to determine the plant's viability score. Another aspect of the invention generates and displays an augmented reality display of a plant in the user's yard. |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US2024005288A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US2024005288A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US2024005288A13</originalsourceid><addsrcrecordid>eNrjZHAOjgwOcfVVcPRzUfB1DfHwd1Fw8w9S8PAPCvF0DvUJCQ1yVQjzdHTy9PEMiVQICHJ18XQO8fT3A2tw8QwO8HGM5GFgTUvMKU7lhdLcDMpuriHOHrqpBfnxqcUFicmpeakl8aHBRgZGJgYGpkYWFo6GxsSpAgD74yyt</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>SYSTEM AND METHOD FOR HORTICULTURE VIABILITY PREDICTION AND DISPLAY</title><source>esp@cenet</source><creator>Bauer, Bradley W ; Gentry, Shawn ; Levi, Andrew ; Schultz, George R</creator><creatorcontrib>Bauer, Bradley W ; Gentry, Shawn ; Levi, Andrew ; Schultz, George R</creatorcontrib><description>A system and method is disclosed for plant maintenance, identification and viability scoring. An application is located on consumer devices connected to the server. Images may be submitted to the server to identify a plant type through convolutional neural network image recognition. The invention uses another artificial neural network to predict a plant's viability score or optionally, arrives at a correlation value based on a fast abbreviation set of the plant profile and third party data. The server compares plant related input and local climactic data to determine the plant's viability score. Another aspect of the invention generates and displays an augmented reality display of a plant in the user's yard.</description><language>eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2024</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240104&DB=EPODOC&CC=US&NR=2024005288A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,777,882,25545,76296</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240104&DB=EPODOC&CC=US&NR=2024005288A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Bauer, Bradley W</creatorcontrib><creatorcontrib>Gentry, Shawn</creatorcontrib><creatorcontrib>Levi, Andrew</creatorcontrib><creatorcontrib>Schultz, George R</creatorcontrib><title>SYSTEM AND METHOD FOR HORTICULTURE VIABILITY PREDICTION AND DISPLAY</title><description>A system and method is disclosed for plant maintenance, identification and viability scoring. An application is located on consumer devices connected to the server. Images may be submitted to the server to identify a plant type through convolutional neural network image recognition. The invention uses another artificial neural network to predict a plant's viability score or optionally, arrives at a correlation value based on a fast abbreviation set of the plant profile and third party data. The server compares plant related input and local climactic data to determine the plant's viability score. Another aspect of the invention generates and displays an augmented reality display of a plant in the user's yard.</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>PHYSICS</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZHAOjgwOcfVVcPRzUfB1DfHwd1Fw8w9S8PAPCvF0DvUJCQ1yVQjzdHTy9PEMiVQICHJ18XQO8fT3A2tw8QwO8HGM5GFgTUvMKU7lhdLcDMpuriHOHrqpBfnxqcUFicmpeakl8aHBRgZGJgYGpkYWFo6GxsSpAgD74yyt</recordid><startdate>20240104</startdate><enddate>20240104</enddate><creator>Bauer, Bradley W</creator><creator>Gentry, Shawn</creator><creator>Levi, Andrew</creator><creator>Schultz, George R</creator><scope>EVB</scope></search><sort><creationdate>20240104</creationdate><title>SYSTEM AND METHOD FOR HORTICULTURE VIABILITY PREDICTION AND DISPLAY</title><author>Bauer, Bradley W ; Gentry, Shawn ; Levi, Andrew ; Schultz, George R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2024005288A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>PHYSICS</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>Bauer, Bradley W</creatorcontrib><creatorcontrib>Gentry, Shawn</creatorcontrib><creatorcontrib>Levi, Andrew</creatorcontrib><creatorcontrib>Schultz, George R</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Bauer, Bradley W</au><au>Gentry, Shawn</au><au>Levi, Andrew</au><au>Schultz, George R</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>SYSTEM AND METHOD FOR HORTICULTURE VIABILITY PREDICTION AND DISPLAY</title><date>2024-01-04</date><risdate>2024</risdate><abstract>A system and method is disclosed for plant maintenance, identification and viability scoring. An application is located on consumer devices connected to the server. Images may be submitted to the server to identify a plant type through convolutional neural network image recognition. The invention uses another artificial neural network to predict a plant's viability score or optionally, arrives at a correlation value based on a fast abbreviation set of the plant profile and third party data. The server compares plant related input and local climactic data to determine the plant's viability score. Another aspect of the invention generates and displays an augmented reality display of a plant in the user's yard.</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | eng |
| recordid | cdi_epo_espacenet_US2024005288A1 |
| source | esp@cenet |
| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | SYSTEM AND METHOD FOR HORTICULTURE VIABILITY PREDICTION AND DISPLAY |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-19T14%3A04%3A15IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=Bauer,%20Bradley%20W&rft.date=2024-01-04&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS2024005288A1%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |