System and method for crop disease diagnosis
The invention discloses a crop disease diagnosis system. The crop disease diagnosis system comprises a communication module, a crop disease database and a crop feature classification module. The communication module is configured to receive a crop image. The crop disease database stores at least one...
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creator | CHEN QI LI AI LIN RUISONG |
description | The invention discloses a crop disease diagnosis system. The crop disease diagnosis system comprises a communication module, a crop disease database and a crop feature classification module. The communication module is configured to receive a crop image. The crop disease database stores at least one crop disease sample case. The crop feature classification module is configured to extract a feature vector representation of the crop image, compare the feature vector representation of the crop image to the at least one crop disease sample case, and classify a crop disease associated with the crop image. Feature vector representations of crop images are extracted through a feature extraction network, and fully connected layers are removed from the feature extraction network during classification of crop diseases.
公开了一种作物病害诊断系统。作物病害诊断系统包括通信模块、作物病害数据库和作物特征分类模块。通信模块被配置为接收作物图像。所述作物病害数据库存储至少一个作物病害样本案例。所述作物特征分类模块被配置为提取所述作物图像的特征向量表示,将所述作物图像的特征向量表示与所述至少一个作物病害样本案例进行比较,以及对与所述作物图像相关联的作物病害进行分类。通过特征提取网络提取作物图像的特征向量表示,并且在作物病害的分 |
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公开了一种作物病害诊断系统。作物病害诊断系统包括通信模块、作物病害数据库和作物特征分类模块。通信模块被配置为接收作物图像。所述作物病害数据库存储至少一个作物病害样本案例。所述作物特征分类模块被配置为提取所述作物图像的特征向量表示,将所述作物图像的特征向量表示与所述至少一个作物病害样本案例进行比较,以及对与所述作物图像相关联的作物病害进行分类。通过特征提取网络提取作物图像的特征向量表示,并且在作物病害的分</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; PHYSICS</subject><creationdate>2023</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=20231013&DB=EPODOC&CC=CN&NR=116888640A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20231013&DB=EPODOC&CC=CN&NR=116888640A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>CHEN QI</creatorcontrib><creatorcontrib>LI AI</creatorcontrib><creatorcontrib>LIN RUISONG</creatorcontrib><title>System and method for crop disease diagnosis</title><description>The invention discloses a crop disease diagnosis system. The crop disease diagnosis system comprises a communication module, a crop disease database and a crop feature classification module. The communication module is configured to receive a crop image. The crop disease database stores at least one crop disease sample case. The crop feature classification module is configured to extract a feature vector representation of the crop image, compare the feature vector representation of the crop image to the at least one crop disease sample case, and classify a crop disease associated with the crop image. Feature vector representations of crop images are extracted through a feature extraction network, and fully connected layers are removed from the feature extraction network during classification of crop diseases.
公开了一种作物病害诊断系统。作物病害诊断系统包括通信模块、作物病害数据库和作物特征分类模块。通信模块被配置为接收作物图像。所述作物病害数据库存储至少一个作物病害样本案例。所述作物特征分类模块被配置为提取所述作物图像的特征向量表示,将所述作物图像的特征向量表示与所述至少一个作物病害样本案例进行比较,以及对与所述作物图像相关联的作物病害进行分类。通过特征提取网络提取作物图像的特征向量表示,并且在作物病害的分</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZNAJriwuSc1VSMxLUchNLcnIT1FIyy9SSC7KL1BIySxOTSxOBdKJ6Xn5xZnFPAysaYk5xam8UJqbQdHNNcTZQze1ID8-tbggMTk1L7Uk3tnP0NDMwsLCzMTA0ZgYNQCEJym6</recordid><startdate>20231013</startdate><enddate>20231013</enddate><creator>CHEN QI</creator><creator>LI AI</creator><creator>LIN RUISONG</creator><scope>EVB</scope></search><sort><creationdate>20231013</creationdate><title>System and method for crop disease diagnosis</title><author>CHEN QI ; LI AI ; LIN RUISONG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN116888640A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>CHEN QI</creatorcontrib><creatorcontrib>LI AI</creatorcontrib><creatorcontrib>LIN RUISONG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>CHEN QI</au><au>LI AI</au><au>LIN RUISONG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>System and method for crop disease diagnosis</title><date>2023-10-13</date><risdate>2023</risdate><abstract>The invention discloses a crop disease diagnosis system. The crop disease diagnosis system comprises a communication module, a crop disease database and a crop feature classification module. The communication module is configured to receive a crop image. The crop disease database stores at least one crop disease sample case. The crop feature classification module is configured to extract a feature vector representation of the crop image, compare the feature vector representation of the crop image to the at least one crop disease sample case, and classify a crop disease associated with the crop image. Feature vector representations of crop images are extracted through a feature extraction network, and fully connected layers are removed from the feature extraction network during classification of crop diseases.
公开了一种作物病害诊断系统。作物病害诊断系统包括通信模块、作物病害数据库和作物特征分类模块。通信模块被配置为接收作物图像。所述作物病害数据库存储至少一个作物病害样本案例。所述作物特征分类模块被配置为提取所述作物图像的特征向量表示,将所述作物图像的特征向量表示与所述至少一个作物病害样本案例进行比较,以及对与所述作物图像相关联的作物病害进行分类。通过特征提取网络提取作物图像的特征向量表示,并且在作物病害的分</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTING COUNTING PHYSICS |
title | System and method for crop disease diagnosis |
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