Intelligent control method and system based on LED plant light supplement
The invention discloses an LED-based plant light supplement intelligent control method and system, a camera detects current plant leaf surface features, a cloud platform identifies the plant category and the current growth cycle, the cloud platform uses a time sequence prediction model GeoMAN to obt...
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creator | CHEN ZENGBIAO LIN LIANGZHONG LIU YANFEI YU HONGWEN |
description | The invention discloses an LED-based plant light supplement intelligent control method and system, a camera detects current plant leaf surface features, a cloud platform identifies the plant category and the current growth cycle, the cloud platform uses a time sequence prediction model GeoMAN to obtain a plant growth trend chart, and the plant growth trend chart is used as a plant light supplement model. A T-S fuzzy neural network model is adopted to carry out fusion operation on each parameter of plant growth, an operation result corresponds to a plant growth level, and a parameter model for optimizing plant growth is obtained; by analyzing the photosynthesis process of plant growth and the environmental factors affecting plant growth, light quality necessary for plant growth is selected according to different temperatures and light intensities required in different stages of plant growth, and by monitoring the light intensities of the environmental factors affecting plant growth in real time, dimming of the |
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A T-S fuzzy neural network model is adopted to carry out fusion operation on each parameter of plant growth, an operation result corresponds to a plant growth level, and a parameter model for optimizing plant growth is obtained; by analyzing the photosynthesis process of plant growth and the environmental factors affecting plant growth, light quality necessary for plant growth is selected according to different temperatures and light intensities required in different stages of plant growth, and by monitoring the light intensities of the environmental factors affecting plant growth in real time, dimming of the</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 ; ELECTRIC COMMUNICATION TECHNIQUE ; ELECTRIC HEATING ; ELECTRIC LIGHTING NOT OTHERWISE PROVIDED FOR ; ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR ; ELECTRICITY ; FISHING ; FORESTRY ; HORTICULTURE ; HUMAN NECESSITIES ; HUNTING ; PHYSICS ; PICTORIAL COMMUNICATION, e.g. TELEVISION ; TRAPPING ; WATERING</subject><creationdate>2022</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=20220401&DB=EPODOC&CC=CN&NR=114269041A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76516</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220401&DB=EPODOC&CC=CN&NR=114269041A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>CHEN ZENGBIAO</creatorcontrib><creatorcontrib>LIN LIANGZHONG</creatorcontrib><creatorcontrib>LIU YANFEI</creatorcontrib><creatorcontrib>YU HONGWEN</creatorcontrib><title>Intelligent control method and system based on LED plant light supplement</title><description>The invention discloses an LED-based plant light supplement intelligent control method and system, a camera detects current plant leaf surface features, a cloud platform identifies the plant category and the current growth cycle, the cloud platform uses a time sequence prediction model GeoMAN to obtain a plant growth trend chart, and the plant growth trend chart is used as a plant light supplement model. A T-S fuzzy neural network model is adopted to carry out fusion operation on each parameter of plant growth, an operation result corresponds to a plant growth level, and a parameter model for optimizing plant growth is obtained; by analyzing the photosynthesis process of plant growth and the environmental factors affecting plant growth, light quality necessary for plant growth is selected according to different temperatures and light intensities required in different stages of plant growth, and by monitoring the light intensities of the environmental factors affecting plant growth in real time, dimming of the</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>ELECTRIC COMMUNICATION TECHNIQUE</subject><subject>ELECTRIC HEATING</subject><subject>ELECTRIC LIGHTING NOT OTHERWISE PROVIDED FOR</subject><subject>ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR</subject><subject>ELECTRICITY</subject><subject>FISHING</subject><subject>FORESTRY</subject><subject>HORTICULTURE</subject><subject>HUMAN NECESSITIES</subject><subject>HUNTING</subject><subject>PHYSICS</subject><subject>PICTORIAL COMMUNICATION, e.g. TELEVISION</subject><subject>TRAPPING</subject><subject>WATERING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZPD0zCtJzcnJTE_NK1FIzs8rKcrPUchNLcnIT1FIzEtRKK4sLknNVUhKLE5NUcjPU_BxdVEoyEkEKgbqyShRKC4tKMhJzQXq5mFgTUvMKU7lhdLcDIpuriHOHrqpBfnxqcUFicmpeakl8c5-hoYmRmaWBiaGjsbEqAEA0VI0dg</recordid><startdate>20220401</startdate><enddate>20220401</enddate><creator>CHEN ZENGBIAO</creator><creator>LIN LIANGZHONG</creator><creator>LIU YANFEI</creator><creator>YU HONGWEN</creator><scope>EVB</scope></search><sort><creationdate>20220401</creationdate><title>Intelligent control method and system based on LED plant light supplement</title><author>CHEN ZENGBIAO ; LIN LIANGZHONG ; LIU YANFEI ; YU HONGWEN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN114269041A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2022</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>ELECTRIC COMMUNICATION TECHNIQUE</topic><topic>ELECTRIC HEATING</topic><topic>ELECTRIC LIGHTING NOT OTHERWISE PROVIDED FOR</topic><topic>ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR</topic><topic>ELECTRICITY</topic><topic>FISHING</topic><topic>FORESTRY</topic><topic>HORTICULTURE</topic><topic>HUMAN NECESSITIES</topic><topic>HUNTING</topic><topic>PHYSICS</topic><topic>PICTORIAL COMMUNICATION, e.g. TELEVISION</topic><topic>TRAPPING</topic><topic>WATERING</topic><toplevel>online_resources</toplevel><creatorcontrib>CHEN ZENGBIAO</creatorcontrib><creatorcontrib>LIN LIANGZHONG</creatorcontrib><creatorcontrib>LIU YANFEI</creatorcontrib><creatorcontrib>YU HONGWEN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>CHEN ZENGBIAO</au><au>LIN LIANGZHONG</au><au>LIU YANFEI</au><au>YU HONGWEN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Intelligent control method and system based on LED plant light supplement</title><date>2022-04-01</date><risdate>2022</risdate><abstract>The invention discloses an LED-based plant light supplement intelligent control method and system, a camera detects current plant leaf surface features, a cloud platform identifies the plant category and the current growth cycle, the cloud platform uses a time sequence prediction model GeoMAN to obtain a plant growth trend chart, and the plant growth trend chart is used as a plant light supplement model. A T-S fuzzy neural network model is adopted to carry out fusion operation on each parameter of plant growth, an operation result corresponds to a plant growth level, and a parameter model for optimizing plant growth is obtained; by analyzing the photosynthesis process of plant growth and the environmental factors affecting plant growth, light quality necessary for plant growth is selected according to different temperatures and light intensities required in different stages of plant growth, and by monitoring the light intensities of the environmental factors affecting plant growth in real time, dimming of the</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 ELECTRIC COMMUNICATION TECHNIQUE ELECTRIC HEATING ELECTRIC LIGHTING NOT OTHERWISE PROVIDED FOR ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR ELECTRICITY FISHING FORESTRY HORTICULTURE HUMAN NECESSITIES HUNTING PHYSICS PICTORIAL COMMUNICATION, e.g. TELEVISION TRAPPING WATERING |
title | Intelligent control method and system based on LED plant light supplement |
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