GENERATING DIGITAL MODELS OF CROP YIELD BASED ON CROP PLANTING DATES AND RELATIVE MATURITY VALUES
A method for generating digital models of potential crop yield based on planting date, relative maturity, and actual production history is provided. In an embodiment, data representing historical planting dates, relative maturity values, and crop yield is received by an agricultural intelligence com...
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| creator | Andrejko, Erik Xu, Ying |
| description | A method for generating digital models of potential crop yield based on planting date, relative maturity, and actual production history is provided. In an embodiment, data representing historical planting dates, relative maturity values, and crop yield is received by an agricultural intelligence computer system. Based on the historical data, the system generates spatial and temporal maps of planting dates, relative maturity, and actual production history. Using the maps, the system creates a model of potential yield that is dependent on planting date and relative maturity. The system may then receive actual production history data for a particular field. Using the received actual production history data, a particular planting date, and a particular relative maturity value, the agricultural intelligence computer system computes a potential yield for a particular field. |
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| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US2020329650A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US2020329650A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US2020329650A13</originalsourceid><addsrcrecordid>eNqNjLEKwjAURbM4iPoPD5yFmKLQ8dm8xkCalCQtdCpB4iRaqP-PQv0ApwuHc-6aJUWWPEZtFUitdEQDjZNkArgaKu9aGDQZCRcMJMHZhbUG7dJgpABoJXgy35ueoMHYeR0H6NF0FLZsdU-POe9-u2H7mmJ1PeTpNeZ5Srf8zO-xC4ILXojyfOJ4LP6zPlDgNFg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>GENERATING DIGITAL MODELS OF CROP YIELD BASED ON CROP PLANTING DATES AND RELATIVE MATURITY VALUES</title><source>esp@cenet</source><creator>Andrejko, Erik ; Xu, Ying</creator><creatorcontrib>Andrejko, Erik ; Xu, Ying</creatorcontrib><description>A method for generating digital models of potential crop yield based on planting date, relative maturity, and actual production history is provided. In an embodiment, data representing historical planting dates, relative maturity values, and crop yield is received by an agricultural intelligence computer system. Based on the historical data, the system generates spatial and temporal maps of planting dates, relative maturity, and actual production history. Using the maps, the system creates a model of potential yield that is dependent on planting date and relative maturity. The system may then receive actual production history data for a particular field. Using the received actual production history data, a particular planting date, and a particular relative maturity value, the agricultural intelligence computer system computes a potential yield for a particular field.</description><language>eng</language><subject>AGRICULTURE ; ANIMAL HUSBANDRY ; CALCULATING ; COMPUTING ; COUNTING ; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPSOR SEAWEED ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; ELECTRIC COMMUNICATION TECHNIQUE ; ELECTRICITY ; FISHING ; FORESTRY ; HORTICULTURE ; HUMAN NECESSITIES ; HUNTING ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR ; TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION ; TRAPPING ; WATERING</subject><creationdate>2020</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=20201022&DB=EPODOC&CC=US&NR=2020329650A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20201022&DB=EPODOC&CC=US&NR=2020329650A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Andrejko, Erik</creatorcontrib><creatorcontrib>Xu, Ying</creatorcontrib><title>GENERATING DIGITAL MODELS OF CROP YIELD BASED ON CROP PLANTING DATES AND RELATIVE MATURITY VALUES</title><description>A method for generating digital models of potential crop yield based on planting date, relative maturity, and actual production history is provided. In an embodiment, data representing historical planting dates, relative maturity values, and crop yield is received by an agricultural intelligence computer system. Based on the historical data, the system generates spatial and temporal maps of planting dates, relative maturity, and actual production history. Using the maps, the system creates a model of potential yield that is dependent on planting date and relative maturity. The system may then receive actual production history data for a particular field. Using the received actual production history data, a particular planting date, and a particular relative maturity value, the agricultural intelligence computer system computes a potential yield for a particular field.</description><subject>AGRICULTURE</subject><subject>ANIMAL HUSBANDRY</subject><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPSOR SEAWEED</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>ELECTRIC COMMUNICATION TECHNIQUE</subject><subject>ELECTRICITY</subject><subject>FISHING</subject><subject>FORESTRY</subject><subject>HORTICULTURE</subject><subject>HUMAN NECESSITIES</subject><subject>HUNTING</subject><subject>PHYSICS</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><subject>TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</subject><subject>TRAPPING</subject><subject>WATERING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2020</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNjLEKwjAURbM4iPoPD5yFmKLQ8dm8xkCalCQtdCpB4iRaqP-PQv0ApwuHc-6aJUWWPEZtFUitdEQDjZNkArgaKu9aGDQZCRcMJMHZhbUG7dJgpABoJXgy35ueoMHYeR0H6NF0FLZsdU-POe9-u2H7mmJ1PeTpNeZ5Srf8zO-xC4ILXojyfOJ4LP6zPlDgNFg</recordid><startdate>20201022</startdate><enddate>20201022</enddate><creator>Andrejko, Erik</creator><creator>Xu, Ying</creator><scope>EVB</scope></search><sort><creationdate>20201022</creationdate><title>GENERATING DIGITAL MODELS OF CROP YIELD BASED ON CROP PLANTING DATES AND RELATIVE MATURITY VALUES</title><author>Andrejko, Erik ; Xu, Ying</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2020329650A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2020</creationdate><topic>AGRICULTURE</topic><topic>ANIMAL HUSBANDRY</topic><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPSOR SEAWEED</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>ELECTRIC COMMUNICATION TECHNIQUE</topic><topic>ELECTRICITY</topic><topic>FISHING</topic><topic>FORESTRY</topic><topic>HORTICULTURE</topic><topic>HUMAN NECESSITIES</topic><topic>HUNTING</topic><topic>PHYSICS</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><topic>TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</topic><topic>TRAPPING</topic><topic>WATERING</topic><toplevel>online_resources</toplevel><creatorcontrib>Andrejko, Erik</creatorcontrib><creatorcontrib>Xu, Ying</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Andrejko, Erik</au><au>Xu, Ying</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>GENERATING DIGITAL MODELS OF CROP YIELD BASED ON CROP PLANTING DATES AND RELATIVE MATURITY VALUES</title><date>2020-10-22</date><risdate>2020</risdate><abstract>A method for generating digital models of potential crop yield based on planting date, relative maturity, and actual production history is provided. In an embodiment, data representing historical planting dates, relative maturity values, and crop yield is received by an agricultural intelligence computer system. Based on the historical data, the system generates spatial and temporal maps of planting dates, relative maturity, and actual production history. Using the maps, the system creates a model of potential yield that is dependent on planting date and relative maturity. The system may then receive actual production history data for a particular field. Using the received actual production history data, a particular planting date, and a particular relative maturity value, the agricultural intelligence computer system computes a potential yield for a particular field.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | AGRICULTURE ANIMAL HUSBANDRY CALCULATING COMPUTING COUNTING CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPSOR SEAWEED DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY FISHING FORESTRY HORTICULTURE HUMAN NECESSITIES HUNTING PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION TRAPPING WATERING |
| title | GENERATING DIGITAL MODELS OF CROP YIELD BASED ON CROP PLANTING DATES AND RELATIVE MATURITY VALUES |
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