Rice new variety value evaluation method and system based on generative model
The invention belongs to the technical field of value evaluation, and particularly relates to a new rice variety value evaluation method and system based on a generative model, and the method comprises the following steps: sorting and merging variety data of target rice, including gene sequences col...
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creator | HU LIANG SHENG PING HE PENG XIONG YING TANG JIANGYUN |
description | The invention belongs to the technical field of value evaluation, and particularly relates to a new rice variety value evaluation method and system based on a generative model, and the method comprises the following steps: sorting and merging variety data of target rice, including gene sequences collected from a database and a site, and environmental parameters including temperature, humidity, soil types and historical growth performance data, and unifying data formats to obtain a basic growth environment and a market feature library. According to the method, by integrating the advanced artificial intelligence technology and utilizing a generator and a discriminator of the generative adversarial network, high-precision simulation and evaluation of a new rice variety are realized, including optimization of yield and resistance prediction parameters, enhancement of model stability through multi-round training, and screening of good varieties through accurate growth index analysis and market demand matching; on- |
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According to the method, by integrating the advanced artificial intelligence technology and utilizing a generator and a discriminator of the generative adversarial network, high-precision simulation and evaluation of a new rice variety are realized, including optimization of yield and resistance prediction parameters, enhancement of model stability through multi-round training, and screening of good varieties through accurate growth index analysis and market demand matching; on-</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, 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&date=20240809&DB=EPODOC&CC=CN&NR=118469155A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,309,782,887,25571,76555</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240809&DB=EPODOC&CC=CN&NR=118469155A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>HU LIANG</creatorcontrib><creatorcontrib>SHENG PING</creatorcontrib><creatorcontrib>HE PENG</creatorcontrib><creatorcontrib>XIONG YING</creatorcontrib><creatorcontrib>TANG JIANGYUN</creatorcontrib><title>Rice new variety value evaluation method and system based on generative model</title><description>The invention belongs to the technical field of value evaluation, and particularly relates to a new rice variety value evaluation method and system based on a generative model, and the method comprises the following steps: sorting and merging variety data of target rice, including gene sequences collected from a database and a site, and environmental parameters including temperature, humidity, soil types and historical growth performance data, and unifying data formats to obtain a basic growth environment and a market feature library. 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According to the method, by integrating the advanced artificial intelligence technology and utilizing a generator and a discriminator of the generative adversarial network, high-precision simulation and evaluation of a new rice variety are realized, including optimization of yield and resistance prediction parameters, enhancement of model stability through multi-round training, and screening of good varieties through accurate growth index analysis and market demand matching; on-</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
title | Rice new variety value evaluation method and system based on generative model |
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