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<bibitem type="J">   <ARLID>0398344</ARLID> <utime>20240903204333.0</utime><mtime>20131112235959.9</mtime>         <title language="eng" primary="1">Computer-Aided Leaf Recognition Visual System</title>  <specification> <page_count>2 s.</page_count> <media_type>P</media_type> </specification>   <serial><ARLID>cav_un_epca*0290490</ARLID><ISSN>0926-4981</ISSN><title>ERCIM News</title><part_num/><part_title/><volume_id>2013</volume_id><volume>95 (2013)</volume><page_num>15-16</page_num><publisher><place/><name>European Research Consortium for Informatics and Mathematics</name><year/></publisher></serial>    <keyword>Leaf recognition</keyword>   <keyword>automatic system</keyword>    <author primary="1"> <ARLID>cav_un_auth*0101203</ARLID> <name1>Suk</name1> <name2>Tomáš</name2> <full_dept language="cz">Zpracování obrazové informace</full_dept> <full_dept language="eng">Department of Image Processing</full_dept> <department language="cz">ZOI</department> <department language="eng">ZOI</department> <institution>UTIA-B</institution> <full_dept>Department of Image Processing</full_dept>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0061997</ARLID> <name1>Novotný</name1> <name2>P.</name2> <country>CZ</country>  </author> <author primary="0"> <ARLID>cav_un_auth*0101087</ARLID> <name1>Flusser</name1> <name2>Jan</name2> <full_dept language="cz">Zpracování obrazové informace</full_dept> <full_dept>Department of Image Processing</full_dept> <department language="cz">ZOI</department> <department>ZOI</department> <institution>UTIA-B</institution> <full_dept>Department of Image Processing</full_dept>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>        <cas_special> <project> <project_id>GAP103/11/1552</project_id> <agency>GA ČR</agency> <ARLID>cav_un_auth*0273618</ARLID> </project>  <abstract language="eng" primary="1">Plant identification is an important task in botany and related areas, such as agriculture, forestry,  and nature conservation. It is also of interest of general public. While botanists usually have no  problem identifying a species, non-specialists would often welcome a computer-aided system for  species recognition. Creating such a system is a challenge that we have resolved using visual  pattern recognition methods.</abstract>     <reportyear>2014</reportyear>  <RIV>JD</RIV>      <num_of_auth>3</num_of_auth>   <permalink>http://hdl.handle.net/11104/0225913</permalink>  <cooperation> <ARLID>cav_un_auth*0295067</ARLID> <institution>UK</institution> <name>Univerzita Karlova v Praze</name> <country>CZ</country> <unknown tag="mrcbC63-f">Praha 1</unknown> </cooperation>       <arlyear>2013</arlyear>       <unknown tag="mrcbU63"> cav_un_epca*0290490 ERCIM News 0926-4981 1564-0094 Roč. 2013 č. 95 2013 15 16 European Research Consortium for Informatics and Mathematics </unknown> </cas_special> </bibitem>