Method for identifying cordyceps sinensis in complex environment
The invention discloses a method for identifying cordyceps sinensis in a complex environment. The method specifically comprises the following steps: step 1, acquiring target image information; 2, preprocessing the target image; step 3, optimizing the YOLO v3 deep neural network model; 4, identifying...
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| creator | FAN ZHUQING LIU SHENG LIU YUFAN LIU HUI YANG YIQING FAN YONGFU |
| description | The invention discloses a method for identifying cordyceps sinensis in a complex environment. The method specifically comprises the following steps: step 1, acquiring target image information; 2, preprocessing the target image; step 3, optimizing the YOLO v3 deep neural network model; 4, identifying a cordyceps sinensis target in the pre-target image, and extracting an ROI (Region of Interest) region of the target; step 5, extracting a minimum enclosing rectangle of a cordyceps sinensis target in the ROI according to the inherent attribute and the feature information of the cordyceps sinensis target; and the specific position information of the cordyceps sinensis target is obtained. According to the identification method, the identification efficiency of the special plant can be improved to a certain extent, manual labor needing to be intervened is reduced, and certain practical significance is achieved.
本发明公开了复杂环境下冬虫夏草的识别方法，具体按照如下步骤进行：步骤1：采集目标图像信息；步骤2：对目标图像做预处理；步骤3：优化YOLO v3深度神经网络模型；步骤4：识别预目标图像中的冬虫夏草目标，并提取该目 |
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本发明公开了复杂环境下冬虫夏草的识别方法，具体按照如下步骤进行：步骤1：采集目标图像信息；步骤2：对目标图像做预处理；步骤3：优化YOLO v3深度神经网络模型；步骤4：识别预目标图像中的冬虫夏草目标，并提取该目</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=20230725&DB=EPODOC&CC=CN&NR=116486256A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25543,76293</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230725&DB=EPODOC&CC=CN&NR=116486256A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>FAN ZHUQING</creatorcontrib><creatorcontrib>LIU SHENG</creatorcontrib><creatorcontrib>LIU YUFAN</creatorcontrib><creatorcontrib>LIU HUI</creatorcontrib><creatorcontrib>YANG YIQING</creatorcontrib><creatorcontrib>FAN YONGFU</creatorcontrib><title>Method for identifying cordyceps sinensis in complex environment</title><description>The invention discloses a method for identifying cordyceps sinensis in a complex environment. The method specifically comprises the following steps: step 1, acquiring target image information; 2, preprocessing the target image; step 3, optimizing the YOLO v3 deep neural network model; 4, identifying a cordyceps sinensis target in the pre-target image, and extracting an ROI (Region of Interest) region of the target; step 5, extracting a minimum enclosing rectangle of a cordyceps sinensis target in the ROI according to the inherent attribute and the feature information of the cordyceps sinensis target; and the specific position information of the cordyceps sinensis target is obtained. According to the identification method, the identification efficiency of the special plant can be improved to a certain extent, manual labor needing to be intervened is reduced, and certain practical significance is achieved.
本发明公开了复杂环境下冬虫夏草的识别方法，具体按照如下步骤进行：步骤1：采集目标图像信息；步骤2：对目标图像做预处理；步骤3：优化YOLO v3深度神经网络模型；步骤4：识别预目标图像中的冬虫夏草目标，并提取该目</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>eNrjZHDwTS3JyE9RSMsvUshMSc0ryUyrzMxLV0jOL0qpTE4tKFYozsxLzSvOLFbIzAOK5hbkpFYopOaVZRbl5-UC1fMwsKYl5hSn8kJpbgZFN9cQZw_d1IL8-NTigsTk1LzUknhnP0NDMxMLMyNTM0djYtQAABnpMhM</recordid><startdate>20230725</startdate><enddate>20230725</enddate><creator>FAN ZHUQING</creator><creator>LIU SHENG</creator><creator>LIU YUFAN</creator><creator>LIU HUI</creator><creator>YANG YIQING</creator><creator>FAN YONGFU</creator><scope>EVB</scope></search><sort><creationdate>20230725</creationdate><title>Method for identifying cordyceps sinensis in complex environment</title><author>FAN ZHUQING ; LIU SHENG ; LIU YUFAN ; LIU HUI ; YANG YIQING ; FAN YONGFU</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN116486256A3</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>FAN ZHUQING</creatorcontrib><creatorcontrib>LIU SHENG</creatorcontrib><creatorcontrib>LIU YUFAN</creatorcontrib><creatorcontrib>LIU HUI</creatorcontrib><creatorcontrib>YANG YIQING</creatorcontrib><creatorcontrib>FAN YONGFU</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>FAN ZHUQING</au><au>LIU SHENG</au><au>LIU YUFAN</au><au>LIU HUI</au><au>YANG YIQING</au><au>FAN YONGFU</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Method for identifying cordyceps sinensis in complex environment</title><date>2023-07-25</date><risdate>2023</risdate><abstract>The invention discloses a method for identifying cordyceps sinensis in a complex environment. The method specifically comprises the following steps: step 1, acquiring target image information; 2, preprocessing the target image; step 3, optimizing the YOLO v3 deep neural network model; 4, identifying a cordyceps sinensis target in the pre-target image, and extracting an ROI (Region of Interest) region of the target; step 5, extracting a minimum enclosing rectangle of a cordyceps sinensis target in the ROI according to the inherent attribute and the feature information of the cordyceps sinensis target; and the specific position information of the cordyceps sinensis target is obtained. According to the identification method, the identification efficiency of the special plant can be improved to a certain extent, manual labor needing to be intervened is reduced, and certain practical significance is achieved.
本发明公开了复杂环境下冬虫夏草的识别方法，具体按照如下步骤进行：步骤1：采集目标图像信息；步骤2：对目标图像做预处理；步骤3：优化YOLO v3深度神经网络模型；步骤4：识别预目标图像中的冬虫夏草目标，并提取该目</abstract><oa>free_for_read</oa></addata></record> |
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| title | Method for identifying cordyceps sinensis in complex environment |
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