Plant leaf temperature distribution prediction method

The invention discloses a plant leaf temperature distribution prediction method, and belongs to the technical field of ecological detection, and the method comprises the steps: obtaining the initial temperature, leaf data and environment data of a target leaf; inputting the initial temperature of th...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: WANG JIANPING, JIN JIANHUI, ZHANG GUO, QIU SHUTIAN
Format: Patent
Sprache:chi ; 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 WANG JIANPING
JIN JIANHUI
ZHANG GUO
QIU SHUTIAN
description The invention discloses a plant leaf temperature distribution prediction method, and belongs to the technical field of ecological detection, and the method comprises the steps: obtaining the initial temperature, leaf data and environment data of a target leaf; inputting the initial temperature of the target blade, the blade data and the environment data into the constructed blade temperature prediction model; and obtaining the temperature of the target blade at the expected moment. The leaf temperature prediction model is constructed by combining the plant leaf temperature field model with the transpiration of the plant leaves, and the temperature distribution conditions of the to-be-measured leaves at different moments in the next period of time can be predicted by inputting the initial temperature, the leaf data and the environment data of the to-be-measured leaves into the leaf temperature prediction model. According to the method, the temperatures of different plants in a period of time can be simply and
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN118171015A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN118171015A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN118171015A3</originalsourceid><addsrcrecordid>eNrjZDANyEnMK1HISU1MUyhJzS1ILUosKS1KVUjJLC4pykwqLcnMz1MoKEpNyUwGM3NTSzLyU3gYWNMSc4pTeaE0N4Oim2uIs4duakF-fGpxQWJyal5qSbyzn6GhhaG5oYGhqaMxMWoArGYtxQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Plant leaf temperature distribution prediction method</title><source>esp@cenet</source><creator>WANG JIANPING ; JIN JIANHUI ; ZHANG GUO ; QIU SHUTIAN</creator><creatorcontrib>WANG JIANPING ; JIN JIANHUI ; ZHANG GUO ; QIU SHUTIAN</creatorcontrib><description>The invention discloses a plant leaf temperature distribution prediction method, and belongs to the technical field of ecological detection, and the method comprises the steps: obtaining the initial temperature, leaf data and environment data of a target leaf; inputting the initial temperature of the target blade, the blade data and the environment data into the constructed blade temperature prediction model; and obtaining the temperature of the target blade at the expected moment. The leaf temperature prediction model is constructed by combining the plant leaf temperature field model with the transpiration of the plant leaves, and the temperature distribution conditions of the to-be-measured leaves at different moments in the next period of time can be predicted by inputting the initial temperature, the leaf data and the environment data of the to-be-measured leaves into the leaf temperature prediction model. According to the method, the temperatures of different plants in a period of time can be simply and</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; MEASURING ; MEASURING QUANTITY OF HEAT ; MEASURING TEMPERATURE ; PHYSICS ; TESTING ; THERMALLY-SENSITIVE ELEMENTS 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&amp;date=20240611&amp;DB=EPODOC&amp;CC=CN&amp;NR=118171015A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20240611&amp;DB=EPODOC&amp;CC=CN&amp;NR=118171015A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>WANG JIANPING</creatorcontrib><creatorcontrib>JIN JIANHUI</creatorcontrib><creatorcontrib>ZHANG GUO</creatorcontrib><creatorcontrib>QIU SHUTIAN</creatorcontrib><title>Plant leaf temperature distribution prediction method</title><description>The invention discloses a plant leaf temperature distribution prediction method, and belongs to the technical field of ecological detection, and the method comprises the steps: obtaining the initial temperature, leaf data and environment data of a target leaf; inputting the initial temperature of the target blade, the blade data and the environment data into the constructed blade temperature prediction model; and obtaining the temperature of the target blade at the expected moment. The leaf temperature prediction model is constructed by combining the plant leaf temperature field model with the transpiration of the plant leaves, and the temperature distribution conditions of the to-be-measured leaves at different moments in the next period of time can be predicted by inputting the initial temperature, the leaf data and the environment data of the to-be-measured leaves into the leaf temperature prediction model. According to the method, the temperatures of different plants in a period of time can be simply and</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>MEASURING</subject><subject>MEASURING QUANTITY OF HEAT</subject><subject>MEASURING TEMPERATURE</subject><subject>PHYSICS</subject><subject>TESTING</subject><subject>THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZDANyEnMK1HISU1MUyhJzS1ILUosKS1KVUjJLC4pykwqLcnMz1MoKEpNyUwGM3NTSzLyU3gYWNMSc4pTeaE0N4Oim2uIs4duakF-fGpxQWJyal5qSbyzn6GhhaG5oYGhqaMxMWoArGYtxQ</recordid><startdate>20240611</startdate><enddate>20240611</enddate><creator>WANG JIANPING</creator><creator>JIN JIANHUI</creator><creator>ZHANG GUO</creator><creator>QIU SHUTIAN</creator><scope>EVB</scope></search><sort><creationdate>20240611</creationdate><title>Plant leaf temperature distribution prediction method</title><author>WANG JIANPING ; JIN JIANHUI ; ZHANG GUO ; QIU SHUTIAN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN118171015A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>MEASURING</topic><topic>MEASURING QUANTITY OF HEAT</topic><topic>MEASURING TEMPERATURE</topic><topic>PHYSICS</topic><topic>TESTING</topic><topic>THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>WANG JIANPING</creatorcontrib><creatorcontrib>JIN JIANHUI</creatorcontrib><creatorcontrib>ZHANG GUO</creatorcontrib><creatorcontrib>QIU SHUTIAN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>WANG JIANPING</au><au>JIN JIANHUI</au><au>ZHANG GUO</au><au>QIU SHUTIAN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Plant leaf temperature distribution prediction method</title><date>2024-06-11</date><risdate>2024</risdate><abstract>The invention discloses a plant leaf temperature distribution prediction method, and belongs to the technical field of ecological detection, and the method comprises the steps: obtaining the initial temperature, leaf data and environment data of a target leaf; inputting the initial temperature of the target blade, the blade data and the environment data into the constructed blade temperature prediction model; and obtaining the temperature of the target blade at the expected moment. The leaf temperature prediction model is constructed by combining the plant leaf temperature field model with the transpiration of the plant leaves, and the temperature distribution conditions of the to-be-measured leaves at different moments in the next period of time can be predicted by inputting the initial temperature, the leaf data and the environment data of the to-be-measured leaves into the leaf temperature prediction model. According to the method, the temperatures of different plants in a period of time can be simply and</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_CN118171015A
source esp@cenet
subjects CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
MEASURING
MEASURING QUANTITY OF HEAT
MEASURING TEMPERATURE
PHYSICS
TESTING
THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
title Plant leaf temperature distribution prediction method
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T12%3A02%3A06IST&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=WANG%20JIANPING&rft.date=2024-06-11&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN118171015A%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