Study of GIS-based soybean production technical expert system
This paper describes the framework, function and realization technique of GIS-based Soybean production technical expert system. This system is a new research and application area of agriculture expert system. This study integrated Artificial Intelligence technology with Geographic Information System...
Gespeichert in:
Hauptverfasser: | , , , |
---|---|
Format: | Tagungsbericht |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 132 |
---|---|
container_issue | |
container_start_page | 129 |
container_title | |
container_volume | |
creator | Zhongwen Huang Yagang Du Yanyan Wang Wei Yu |
description | This paper describes the framework, function and realization technique of GIS-based Soybean production technical expert system. This system is a new research and application area of agriculture expert system. This study integrated Artificial Intelligence technology with Geographic Information System, and research on the integration of GIS with ES. The system is based on "Brower/Server/DBMS" three-layer architecture network model, using GIS and ES dynamic link integration technology and Intelligent reasoning, incorporating soybean agriculture expert knowledge, has established GIS-based soybean production technical expert system. |
format | Conference Proceeding |
fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_5665467</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5665467</ieee_id><sourcerecordid>5665467</sourcerecordid><originalsourceid>FETCH-LOGICAL-i90t-84216401ea40a6410643a3c7fff818c2d7d3cd3d5a12075fffa4d621ec21c7e13</originalsourceid><addsrcrecordid>eNo9T8lqwzAUVDdoSP0FvegHDFqeFh96KKFNA4EekntQpCeqktjGUqD--wpSOpdhZmCYuSFNZyy3tpNSgeC3ZCG4ghasFHfXDARAp41k9_-ZgEfS5PzNKlSVki3Iy65cwkyHSNebXXt0GQPNw3xE19NxGsLFlzT0tKD_6pN3J4o_I06F5jkXPD-Rh-hOGZs_XpL9-9t-9dFuP9eb1eu2TR0rra0LNTCODpjTwJkG6aQ3Mcb6wYtggvRBBuW4YEZV20HQgqMX3Bvkckmer7UJEQ_jlM5umg9KawX14S9K0Ufz</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Study of GIS-based soybean production technical expert system</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Zhongwen Huang ; Yagang Du ; Yanyan Wang ; Wei Yu</creator><creatorcontrib>Zhongwen Huang ; Yagang Du ; Yanyan Wang ; Wei Yu</creatorcontrib><description>This paper describes the framework, function and realization technique of GIS-based Soybean production technical expert system. This system is a new research and application area of agriculture expert system. This study integrated Artificial Intelligence technology with Geographic Information System, and research on the integration of GIS with ES. The system is based on "Brower/Server/DBMS" three-layer architecture network model, using GIS and ES dynamic link integration technology and Intelligent reasoning, incorporating soybean agriculture expert knowledge, has established GIS-based soybean production technical expert system.</description><identifier>ISSN: 2154-4824</identifier><identifier>ISBN: 9781424496730</identifier><identifier>ISBN: 142449673X</identifier><identifier>EISSN: 2154-4832</identifier><identifier>EISBN: 9781889335421</identifier><identifier>EISBN: 1889335428</identifier><language>eng</language><publisher>IEEE</publisher><subject>Cognition ; Expert system ; Expert systems ; Geographic information ; Geographic Information Systems ; Intelligent reasoning ; Object oriented modeling ; Production ; Soybean ; Spatial databases ; system ; system integration</subject><ispartof>2010 World Automation Congress, 2010, p.129-132</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5665467$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5665467$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Zhongwen Huang</creatorcontrib><creatorcontrib>Yagang Du</creatorcontrib><creatorcontrib>Yanyan Wang</creatorcontrib><creatorcontrib>Wei Yu</creatorcontrib><title>Study of GIS-based soybean production technical expert system</title><title>2010 World Automation Congress</title><addtitle>WAC</addtitle><description>This paper describes the framework, function and realization technique of GIS-based Soybean production technical expert system. This system is a new research and application area of agriculture expert system. This study integrated Artificial Intelligence technology with Geographic Information System, and research on the integration of GIS with ES. The system is based on "Brower/Server/DBMS" three-layer architecture network model, using GIS and ES dynamic link integration technology and Intelligent reasoning, incorporating soybean agriculture expert knowledge, has established GIS-based soybean production technical expert system.</description><subject>Cognition</subject><subject>Expert system</subject><subject>Expert systems</subject><subject>Geographic information</subject><subject>Geographic Information Systems</subject><subject>Intelligent reasoning</subject><subject>Object oriented modeling</subject><subject>Production</subject><subject>Soybean</subject><subject>Spatial databases</subject><subject>system</subject><subject>system integration</subject><issn>2154-4824</issn><issn>2154-4832</issn><isbn>9781424496730</isbn><isbn>142449673X</isbn><isbn>9781889335421</isbn><isbn>1889335428</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo9T8lqwzAUVDdoSP0FvegHDFqeFh96KKFNA4EekntQpCeqktjGUqD--wpSOpdhZmCYuSFNZyy3tpNSgeC3ZCG4ghasFHfXDARAp41k9_-ZgEfS5PzNKlSVki3Iy65cwkyHSNebXXt0GQPNw3xE19NxGsLFlzT0tKD_6pN3J4o_I06F5jkXPD-Rh-hOGZs_XpL9-9t-9dFuP9eb1eu2TR0rra0LNTCODpjTwJkG6aQ3Mcb6wYtggvRBBuW4YEZV20HQgqMX3Bvkckmer7UJEQ_jlM5umg9KawX14S9K0Ufz</recordid><startdate>201009</startdate><enddate>201009</enddate><creator>Zhongwen Huang</creator><creator>Yagang Du</creator><creator>Yanyan Wang</creator><creator>Wei Yu</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201009</creationdate><title>Study of GIS-based soybean production technical expert system</title><author>Zhongwen Huang ; Yagang Du ; Yanyan Wang ; Wei Yu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-84216401ea40a6410643a3c7fff818c2d7d3cd3d5a12075fffa4d621ec21c7e13</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Cognition</topic><topic>Expert system</topic><topic>Expert systems</topic><topic>Geographic information</topic><topic>Geographic Information Systems</topic><topic>Intelligent reasoning</topic><topic>Object oriented modeling</topic><topic>Production</topic><topic>Soybean</topic><topic>Spatial databases</topic><topic>system</topic><topic>system integration</topic><toplevel>online_resources</toplevel><creatorcontrib>Zhongwen Huang</creatorcontrib><creatorcontrib>Yagang Du</creatorcontrib><creatorcontrib>Yanyan Wang</creatorcontrib><creatorcontrib>Wei Yu</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Zhongwen Huang</au><au>Yagang Du</au><au>Yanyan Wang</au><au>Wei Yu</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Study of GIS-based soybean production technical expert system</atitle><btitle>2010 World Automation Congress</btitle><stitle>WAC</stitle><date>2010-09</date><risdate>2010</risdate><spage>129</spage><epage>132</epage><pages>129-132</pages><issn>2154-4824</issn><eissn>2154-4832</eissn><isbn>9781424496730</isbn><isbn>142449673X</isbn><eisbn>9781889335421</eisbn><eisbn>1889335428</eisbn><abstract>This paper describes the framework, function and realization technique of GIS-based Soybean production technical expert system. This system is a new research and application area of agriculture expert system. This study integrated Artificial Intelligence technology with Geographic Information System, and research on the integration of GIS with ES. The system is based on "Brower/Server/DBMS" three-layer architecture network model, using GIS and ES dynamic link integration technology and Intelligent reasoning, incorporating soybean agriculture expert knowledge, has established GIS-based soybean production technical expert system.</abstract><pub>IEEE</pub><tpages>4</tpages></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 2154-4824 |
ispartof | 2010 World Automation Congress, 2010, p.129-132 |
issn | 2154-4824 2154-4832 |
language | eng |
recordid | cdi_ieee_primary_5665467 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Cognition Expert system Expert systems Geographic information Geographic Information Systems Intelligent reasoning Object oriented modeling Production Soybean Spatial databases system system integration |
title | Study of GIS-based soybean production technical expert system |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T19%3A25%3A50IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Study%20of%20GIS-based%20soybean%20production%20technical%20expert%20system&rft.btitle=2010%20World%20Automation%20Congress&rft.au=Zhongwen%20Huang&rft.date=2010-09&rft.spage=129&rft.epage=132&rft.pages=129-132&rft.issn=2154-4824&rft.eissn=2154-4832&rft.isbn=9781424496730&rft.isbn_list=142449673X&rft_id=info:doi/&rft_dat=%3Cieee_6IE%3E5665467%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=9781889335421&rft.eisbn_list=1889335428&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=5665467&rfr_iscdi=true |