Plant cultivation method based on intelligent data collection and the cloud service technology
The invention discloses a plant cultivation method based on intelligent data collection and cloud service technology. The method comprises: S1, collecting plant growth indicators, the watering amount,the fertilization amount and the fertilization type, forming an influence factor matrix X, and uploa...
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creator | ZHANG ZHILIANG LI TAIFU GUAN XUEZI QIAO YUDING YIN DIE XIANG MINGGANG ZHOU WEI LI JIAQING DUAN TANGSHAO |
description | The invention discloses a plant cultivation method based on intelligent data collection and cloud service technology. The method comprises: S1, collecting plant growth indicators, the watering amount,the fertilization amount and the fertilization type, forming an influence factor matrix X, and uploading to the cloud server, wherein the decision variables are the watering amount, the fertilizationamount and the fertilization type; S2, determining plant health indexes, forming an indicator matrix Y, performing training and testing by an Elman neural network, and establishing a plant cultivation model; S3, optimizing the plant cultivation model by using the MOPSO algorithm to obtain a set of optimal solutions for each decision variable and plant health indexes corresponding to the optimal solutions; and S4, predicting the real-time data by using the model in the S3 to obtain a recommended decision X, sending the X to a user terminal, displaying the recommended optimal watering amount, fertilizing amount an |
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The method comprises: S1, collecting plant growth indicators, the watering amount,the fertilization amount and the fertilization type, forming an influence factor matrix X, and uploading to the cloud server, wherein the decision variables are the watering amount, the fertilizationamount and the fertilization type; S2, determining plant health indexes, forming an indicator matrix Y, performing training and testing by an Elman neural network, and establishing a plant cultivation model; S3, optimizing the plant cultivation model by using the MOPSO algorithm to obtain a set of optimal solutions for each decision variable and plant health indexes corresponding to the optimal solutions; and S4, predicting the real-time data by using the model in the S3 to obtain a recommended decision X<*>, sending the X<*> to a user terminal, displaying the recommended optimal watering amount, fertilizing amount an</description><language>chi ; eng</language><subject>AGRICULTURE ; ANIMAL HUSBANDRY ; CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPSOR SEAWEED ; FISHING ; FORESTRY ; HORTICULTURE ; HUMAN NECESSITIES ; HUNTING ; PHYSICS ; TRAPPING ; WATERING</subject><creationdate>2018</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=20181023&DB=EPODOC&CC=CN&NR=108694444A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20181023&DB=EPODOC&CC=CN&NR=108694444A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>ZHANG ZHILIANG</creatorcontrib><creatorcontrib>LI TAIFU</creatorcontrib><creatorcontrib>GUAN XUEZI</creatorcontrib><creatorcontrib>QIAO YUDING</creatorcontrib><creatorcontrib>YIN DIE</creatorcontrib><creatorcontrib>XIANG MINGGANG</creatorcontrib><creatorcontrib>ZHOU WEI</creatorcontrib><creatorcontrib>LI JIAQING</creatorcontrib><creatorcontrib>DUAN TANGSHAO</creatorcontrib><title>Plant cultivation method based on intelligent data collection and the cloud service technology</title><description>The invention discloses a plant cultivation method based on intelligent data collection and cloud service technology. The method comprises: S1, collecting plant growth indicators, the watering amount,the fertilization amount and the fertilization type, forming an influence factor matrix X, and uploading to the cloud server, wherein the decision variables are the watering amount, the fertilizationamount and the fertilization type; S2, determining plant health indexes, forming an indicator matrix Y, performing training and testing by an Elman neural network, and establishing a plant cultivation model; S3, optimizing the plant cultivation model by using the MOPSO algorithm to obtain a set of optimal solutions for each decision variable and plant health indexes corresponding to the optimal solutions; and S4, predicting the real-time data by using the model in the S3 to obtain a recommended decision X<*>, sending the X<*> to a user terminal, displaying the recommended optimal watering amount, fertilizing amount an</description><subject>AGRICULTURE</subject><subject>ANIMAL HUSBANDRY</subject><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPSOR SEAWEED</subject><subject>FISHING</subject><subject>FORESTRY</subject><subject>HORTICULTURE</subject><subject>HUMAN NECESSITIES</subject><subject>HUNTING</subject><subject>PHYSICS</subject><subject>TRAPPING</subject><subject>WATERING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2018</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNyjEKwkAQheE0FqLeYTyAoCiipQTFSiysDePsM1kYd4I7Eby9QTyAr_l58A2L61k5OUmnHl_s0RI94I0FunFGoP7H5FCNNXoX2JnEVCFfyymQNyBR6wJlPF9RQA5pkqnV73ExuLNmTH4dFdPD_lIeZ2itQm5ZkOBVeVrMN-vtqt9u-Y_5AGx2PQA</recordid><startdate>20181023</startdate><enddate>20181023</enddate><creator>ZHANG ZHILIANG</creator><creator>LI TAIFU</creator><creator>GUAN XUEZI</creator><creator>QIAO YUDING</creator><creator>YIN DIE</creator><creator>XIANG MINGGANG</creator><creator>ZHOU WEI</creator><creator>LI JIAQING</creator><creator>DUAN TANGSHAO</creator><scope>EVB</scope></search><sort><creationdate>20181023</creationdate><title>Plant cultivation method based on intelligent data collection and the cloud service technology</title><author>ZHANG ZHILIANG ; LI TAIFU ; GUAN XUEZI ; QIAO YUDING ; YIN DIE ; XIANG MINGGANG ; ZHOU WEI ; LI JIAQING ; DUAN TANGSHAO</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN108694444A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2018</creationdate><topic>AGRICULTURE</topic><topic>ANIMAL HUSBANDRY</topic><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPSOR SEAWEED</topic><topic>FISHING</topic><topic>FORESTRY</topic><topic>HORTICULTURE</topic><topic>HUMAN NECESSITIES</topic><topic>HUNTING</topic><topic>PHYSICS</topic><topic>TRAPPING</topic><topic>WATERING</topic><toplevel>online_resources</toplevel><creatorcontrib>ZHANG ZHILIANG</creatorcontrib><creatorcontrib>LI TAIFU</creatorcontrib><creatorcontrib>GUAN XUEZI</creatorcontrib><creatorcontrib>QIAO YUDING</creatorcontrib><creatorcontrib>YIN DIE</creatorcontrib><creatorcontrib>XIANG MINGGANG</creatorcontrib><creatorcontrib>ZHOU WEI</creatorcontrib><creatorcontrib>LI JIAQING</creatorcontrib><creatorcontrib>DUAN TANGSHAO</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>ZHANG ZHILIANG</au><au>LI TAIFU</au><au>GUAN XUEZI</au><au>QIAO YUDING</au><au>YIN DIE</au><au>XIANG MINGGANG</au><au>ZHOU WEI</au><au>LI JIAQING</au><au>DUAN TANGSHAO</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Plant cultivation method based on intelligent data collection and the cloud service technology</title><date>2018-10-23</date><risdate>2018</risdate><abstract>The invention discloses a plant cultivation method based on intelligent data collection and cloud service technology. The method comprises: S1, collecting plant growth indicators, the watering amount,the fertilization amount and the fertilization type, forming an influence factor matrix X, and uploading to the cloud server, wherein the decision variables are the watering amount, the fertilizationamount and the fertilization type; S2, determining plant health indexes, forming an indicator matrix Y, performing training and testing by an Elman neural network, and establishing a plant cultivation model; S3, optimizing the plant cultivation model by using the MOPSO algorithm to obtain a set of optimal solutions for each decision variable and plant health indexes corresponding to the optimal solutions; and S4, predicting the real-time data by using the model in the S3 to obtain a recommended decision X<*>, sending the X<*> to a user terminal, displaying the recommended optimal watering amount, fertilizing amount an</abstract><oa>free_for_read</oa></addata></record> |
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subjects | AGRICULTURE ANIMAL HUSBANDRY CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPSOR SEAWEED FISHING FORESTRY HORTICULTURE HUMAN NECESSITIES HUNTING PHYSICS TRAPPING WATERING |
title | Plant cultivation method based on intelligent data collection and the cloud service technology |
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