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		<title>Wiki - Вклад участника [ru]</title>
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		<updated>2026-05-14T05:25:29Z</updated>
		<subtitle>Вклад участника</subtitle>
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	<entry>
		<id>http://v.michm.ru/index.php/%D0%9D%D0%B8%D0%BA%D0%B8%D1%82%D0%B0_%D0%A1%D1%82%D0%B0%D1%80%D1%86%D0%B5%D0%B2</id>
		<title>Никита Старцев</title>
		<link rel="alternate" type="text/html" href="http://v.michm.ru/index.php/%D0%9D%D0%B8%D0%BA%D0%B8%D1%82%D0%B0_%D0%A1%D1%82%D0%B0%D1%80%D1%86%D0%B5%D0%B2"/>
				<updated>2019-10-28T19:01:02Z</updated>
		
		<summary type="html">&lt;p&gt;Старцев Никита: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
&lt;br /&gt;
[http://www.pro-schneider.ru/technical_support/technical_collection/ Техническая коллекция Шнайдер Электрик отдельные выпуски]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
machine vision&lt;br /&gt;
&lt;br /&gt;
image recognition&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[https://www.scopus.com/record/display.uri?eid=2-s2.0-85062213988&amp;amp;origin=resultslist&amp;amp;zone=contextBox Automated spectral feature extraction from hyperspectral images to differentiate weedy rice and barnyard grass from a rice crop]&lt;br /&gt;
&lt;br /&gt;
[https://www.scopus.com/record/display.uri?eid=2-s2.0-85041957297&amp;amp;origin=resultslist&amp;amp;zone=contextBox Simultaneous identification of the wood types in aged cachaças and their adulterations with wood extracts using digital images and SPA-LDA]&lt;br /&gt;
&lt;br /&gt;
[https://www.scopus.com/record/display.uri?eid=2-s2.0-85072930676&amp;amp;origin=resultslist&amp;amp;zone=contextBox High-throughput image analysis framework for fruit detection, localization and measurement from video streams]&lt;br /&gt;
&lt;br /&gt;
[https://www.scopus.com/record/display.uri?eid=2-s2.0-0034130583&amp;amp;origin=reflist&amp;amp;recordRank= Method for using images from a color digital camera to estimate flower number]&lt;br /&gt;
&lt;br /&gt;
[http://apps.webofknowledge.com/full_record.do?product=RSCI&amp;amp;search_mode=GeneralSearch&amp;amp;qid=4&amp;amp;SID=E1rMk5akaL3HByLJJlU&amp;amp;page=1&amp;amp;doc=2 Применение систем технического зрения в машинных технологиях в садоводстве]&lt;br /&gt;
&lt;br /&gt;
[https://link.springer.com/book/10.1007/978-3-662-47794-6#about &lt;br /&gt;
Machine Vision&lt;br /&gt;
Automated Visual Inspection: Theory, Practice and Applications&lt;br /&gt;
]&lt;br /&gt;
&lt;br /&gt;
[https://e.lanbook.com/reader/journalArticle/517021/#7 ИНТЕЛЛЕКТУАЛЬНЫЕ МАШИННЫЕ ТЕХНОЛОГИИ В САДОВОДСТВЕ Таврический вестник аграрной науки 2017 год №1]&lt;br /&gt;
&lt;br /&gt;
[https://e.lanbook.com/book/97337 Основы машинного зрения в среде LabVIEW: учебный курс]&lt;br /&gt;
&lt;br /&gt;
[https://www.researchgate.net/publication/318041734_Application_of_machine_vision_in_agricultural_products Application of machine vision in agricultural products]&lt;br /&gt;
&lt;br /&gt;
[https://www.spiedigitallibrary.org/conference-proceedings-of-spie/3543/0000/Applications-of-color-machine-vision-in-the-agricultural-and-food/10.1117/12.336908.short?SSO=1 Applications of color machine vision in the agricultural and food industries]&lt;/div&gt;</summary>
		<author><name>Старцев Никита</name></author>	</entry>

	<entry>
		<id>http://v.michm.ru/index.php/%D0%9D%D0%B8%D0%BA%D0%B8%D1%82%D0%B0_%D0%A1%D1%82%D0%B0%D1%80%D1%86%D0%B5%D0%B2</id>
		<title>Никита Старцев</title>
		<link rel="alternate" type="text/html" href="http://v.michm.ru/index.php/%D0%9D%D0%B8%D0%BA%D0%B8%D1%82%D0%B0_%D0%A1%D1%82%D0%B0%D1%80%D1%86%D0%B5%D0%B2"/>
				<updated>2019-10-28T12:31:08Z</updated>
		
		<summary type="html">&lt;p&gt;Старцев Никита: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
&lt;br /&gt;
[http://www.pro-schneider.ru/technical_support/technical_collection/ Техническая коллекция Шнайдер Электрик отдельные выпуски]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
machine vision&lt;br /&gt;
&lt;br /&gt;
image recognition&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[https://www.scopus.com/record/display.uri?eid=2-s2.0-85062213988&amp;amp;origin=resultslist&amp;amp;zone=contextBox Automated spectral feature extraction from hyperspectral images to differentiate weedy rice and barnyard grass from a rice crop]&lt;br /&gt;
&lt;br /&gt;
[https://www.scopus.com/record/display.uri?eid=2-s2.0-85041957297&amp;amp;origin=resultslist&amp;amp;zone=contextBox Simultaneous identification of the wood types in aged cachaças and their adulterations with wood extracts using digital images and SPA-LDA]&lt;br /&gt;
&lt;br /&gt;
[https://www.scopus.com/record/display.uri?eid=2-s2.0-85072930676&amp;amp;origin=resultslist&amp;amp;zone=contextBox High-throughput image analysis framework for fruit detection, localization and measurement from video streams]&lt;br /&gt;
&lt;br /&gt;
[https://www.scopus.com/record/display.uri?eid=2-s2.0-0034130583&amp;amp;origin=reflist&amp;amp;recordRank= Method for using images from a color digital camera to estimate flower number]&lt;br /&gt;
&lt;br /&gt;
[http://apps.webofknowledge.com/full_record.do?product=RSCI&amp;amp;search_mode=GeneralSearch&amp;amp;qid=4&amp;amp;SID=E1rMk5akaL3HByLJJlU&amp;amp;page=1&amp;amp;doc=2 Применение систем технического зрения в машинных технологиях в садоводстве]&lt;br /&gt;
&lt;br /&gt;
[https://link.springer.com/book/10.1007/978-3-662-47794-6#about &lt;br /&gt;
Machine Vision&lt;br /&gt;
Automated Visual Inspection: Theory, Practice and Applications&lt;br /&gt;
]&lt;br /&gt;
&lt;br /&gt;
[https://e.lanbook.com/reader/journalArticle/517021/#7 ИНТЕЛЛЕКТУАЛЬНЫЕ МАШИННЫЕ ТЕХНОЛОГИИ В САДОВОДСТВЕ Таврический вестник аграрной науки 2017 год №1]&lt;br /&gt;
&lt;br /&gt;
[https://e.lanbook.com/book/97337 Основы машинного зрения в среде LabVIEW: учебный курс]&lt;br /&gt;
&lt;br /&gt;
[https://www.researchgate.net/publication/318041734_Application_of_machine_vision_in_agricultural_products Application of machine vision in agricultural products]&lt;/div&gt;</summary>
		<author><name>Старцев Никита</name></author>	</entry>

	<entry>
		<id>http://v.michm.ru/index.php/%D0%9D%D0%B8%D0%BA%D0%B8%D1%82%D0%B0_%D0%A1%D1%82%D0%B0%D1%80%D1%86%D0%B5%D0%B2</id>
		<title>Никита Старцев</title>
		<link rel="alternate" type="text/html" href="http://v.michm.ru/index.php/%D0%9D%D0%B8%D0%BA%D0%B8%D1%82%D0%B0_%D0%A1%D1%82%D0%B0%D1%80%D1%86%D0%B5%D0%B2"/>
				<updated>2019-10-25T13:55:56Z</updated>
		
		<summary type="html">&lt;p&gt;Старцев Никита: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
&lt;br /&gt;
[http://www.pro-schneider.ru/technical_support/technical_collection/ Техническая коллекция Шнайдер Электрик отдельные выпуски]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
machine vision&lt;br /&gt;
&lt;br /&gt;
image recognition&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[https://www.scopus.com/record/display.uri?eid=2-s2.0-85062213988&amp;amp;origin=resultslist&amp;amp;zone=contextBox Automated spectral feature extraction from hyperspectral images to differentiate weedy rice and barnyard grass from a rice crop]&lt;br /&gt;
&lt;br /&gt;
[https://www.scopus.com/record/display.uri?eid=2-s2.0-85041957297&amp;amp;origin=resultslist&amp;amp;zone=contextBox Simultaneous identification of the wood types in aged cachaças and their adulterations with wood extracts using digital images and SPA-LDA]&lt;br /&gt;
&lt;br /&gt;
[https://www.scopus.com/record/display.uri?eid=2-s2.0-85072930676&amp;amp;origin=resultslist&amp;amp;zone=contextBox High-throughput image analysis framework for fruit detection, localization and measurement from video streams]&lt;br /&gt;
&lt;br /&gt;
[https://www.scopus.com/record/display.uri?eid=2-s2.0-0034130583&amp;amp;origin=reflist&amp;amp;recordRank= Method for using images from a color digital camera to estimate flower number]&lt;br /&gt;
&lt;br /&gt;
[http://apps.webofknowledge.com/full_record.do?product=RSCI&amp;amp;search_mode=GeneralSearch&amp;amp;qid=4&amp;amp;SID=E1rMk5akaL3HByLJJlU&amp;amp;page=1&amp;amp;doc=2 Применение систем технического зрения в машинных технологиях в садоводстве]&lt;br /&gt;
&lt;br /&gt;
[https://link.springer.com/book/10.1007/978-3-662-47794-6#about &lt;br /&gt;
Machine Vision&lt;br /&gt;
Automated Visual Inspection: Theory, Practice and Applications&lt;br /&gt;
]&lt;br /&gt;
&lt;br /&gt;
[https://e.lanbook.com/reader/journalArticle/517021/#7 ИНТЕЛЛЕКТУАЛЬНЫЕ МАШИННЫЕ ТЕХНОЛОГИИ В САДОВОДСТВЕ Таврический вестник аграрной науки 2017 год №1]&lt;br /&gt;
&lt;br /&gt;
[https://e.lanbook.com/book/97337 Основы машинного зрения в среде LabVIEW: учебный курс]&lt;/div&gt;</summary>
		<author><name>Старцев Никита</name></author>	</entry>

	<entry>
		<id>http://v.michm.ru/index.php/%D0%9D%D0%B8%D0%BA%D0%B8%D1%82%D0%B0_%D0%A1%D1%82%D0%B0%D1%80%D1%86%D0%B5%D0%B2</id>
		<title>Никита Старцев</title>
		<link rel="alternate" type="text/html" href="http://v.michm.ru/index.php/%D0%9D%D0%B8%D0%BA%D0%B8%D1%82%D0%B0_%D0%A1%D1%82%D0%B0%D1%80%D1%86%D0%B5%D0%B2"/>
				<updated>2019-10-25T13:51:06Z</updated>
		
		<summary type="html">&lt;p&gt;Старцев Никита: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
&lt;br /&gt;
[http://www.pro-schneider.ru/technical_support/technical_collection/ Техническая коллекция Шнайдер Электрик отдельные выпуски]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
machine vision&lt;br /&gt;
&lt;br /&gt;
image recognition&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[https://www.scopus.com/record/display.uri?eid=2-s2.0-85062213988&amp;amp;origin=resultslist&amp;amp;zone=contextBox Automated spectral feature extraction from hyperspectral images to differentiate weedy rice and barnyard grass from a rice crop]&lt;br /&gt;
&lt;br /&gt;
[https://www.scopus.com/record/display.uri?eid=2-s2.0-85041957297&amp;amp;origin=resultslist&amp;amp;zone=contextBox Simultaneous identification of the wood types in aged cachaças and their adulterations with wood extracts using digital images and SPA-LDA]&lt;br /&gt;
&lt;br /&gt;
[https://www.scopus.com/record/display.uri?eid=2-s2.0-85072930676&amp;amp;origin=resultslist&amp;amp;zone=contextBox High-throughput image analysis framework for fruit detection, localization and measurement from video streams]&lt;br /&gt;
&lt;br /&gt;
[https://www.scopus.com/record/display.uri?eid=2-s2.0-0034130583&amp;amp;origin=reflist&amp;amp;recordRank= Method for using images from a color digital camera to estimate flower number]&lt;br /&gt;
&lt;br /&gt;
[http://apps.webofknowledge.com/full_record.do?product=RSCI&amp;amp;search_mode=GeneralSearch&amp;amp;qid=4&amp;amp;SID=E1rMk5akaL3HByLJJlU&amp;amp;page=1&amp;amp;doc=2 Применение систем технического зрения в машинных технологиях в садоводстве]&lt;br /&gt;
&lt;br /&gt;
[https://link.springer.com/book/10.1007/978-3-662-47794-6#about &lt;br /&gt;
Machine Vision&lt;br /&gt;
Automated Visual Inspection: Theory, Practice and Applications&lt;br /&gt;
]&lt;br /&gt;
&lt;br /&gt;
[https://e.lanbook.com/reader/journalArticle/517021/#7 ИНТЕЛЛЕКТУАЛЬНЫЕ МАШИННЫЕ ТЕХНОЛОГИИ В САДОВОДСТВЕ Таврический вестник аграрной науки 2017 год №1]&lt;/div&gt;</summary>
		<author><name>Старцев Никита</name></author>	</entry>

	<entry>
		<id>http://v.michm.ru/index.php/%D0%9D%D0%B8%D0%BA%D0%B8%D1%82%D0%B0_%D0%A1%D1%82%D0%B0%D1%80%D1%86%D0%B5%D0%B2</id>
		<title>Никита Старцев</title>
		<link rel="alternate" type="text/html" href="http://v.michm.ru/index.php/%D0%9D%D0%B8%D0%BA%D0%B8%D1%82%D0%B0_%D0%A1%D1%82%D0%B0%D1%80%D1%86%D0%B5%D0%B2"/>
				<updated>2019-10-25T13:45:00Z</updated>
		
		<summary type="html">&lt;p&gt;Старцев Никита: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
&lt;br /&gt;
[http://www.pro-schneider.ru/technical_support/technical_collection/ Техническая коллекция Шнайдер Электрик отдельные выпуски]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
machine vision&lt;br /&gt;
&lt;br /&gt;
image recognition&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[https://www.scopus.com/record/display.uri?eid=2-s2.0-85062213988&amp;amp;origin=resultslist&amp;amp;zone=contextBox Automated spectral feature extraction from hyperspectral images to differentiate weedy rice and barnyard grass from a rice crop]&lt;br /&gt;
&lt;br /&gt;
[https://www.scopus.com/record/display.uri?eid=2-s2.0-85041957297&amp;amp;origin=resultslist&amp;amp;zone=contextBox Simultaneous identification of the wood types in aged cachaças and their adulterations with wood extracts using digital images and SPA-LDA]&lt;br /&gt;
&lt;br /&gt;
[https://www.scopus.com/record/display.uri?eid=2-s2.0-85072930676&amp;amp;origin=resultslist&amp;amp;zone=contextBox High-throughput image analysis framework for fruit detection, localization and measurement from video streams]&lt;br /&gt;
&lt;br /&gt;
[https://www.scopus.com/record/display.uri?eid=2-s2.0-0034130583&amp;amp;origin=reflist&amp;amp;recordRank= Method for using images from a color digital camera to estimate flower number]&lt;br /&gt;
&lt;br /&gt;
[http://apps.webofknowledge.com/full_record.do?product=RSCI&amp;amp;search_mode=GeneralSearch&amp;amp;qid=4&amp;amp;SID=E1rMk5akaL3HByLJJlU&amp;amp;page=1&amp;amp;doc=2 Применение систем технического зрения в машинных технологиях в садоводстве]&lt;br /&gt;
&lt;br /&gt;
[https://link.springer.com/book/10.1007/978-3-662-47794-6#about &lt;br /&gt;
Machine Vision&lt;br /&gt;
Automated Visual Inspection: Theory, Practice and Applications&lt;br /&gt;
]&lt;/div&gt;</summary>
		<author><name>Старцев Никита</name></author>	</entry>

	<entry>
		<id>http://v.michm.ru/index.php/%D0%9D%D0%B8%D0%BA%D0%B8%D1%82%D0%B0_%D0%A1%D1%82%D0%B0%D1%80%D1%86%D0%B5%D0%B2</id>
		<title>Никита Старцев</title>
		<link rel="alternate" type="text/html" href="http://v.michm.ru/index.php/%D0%9D%D0%B8%D0%BA%D0%B8%D1%82%D0%B0_%D0%A1%D1%82%D0%B0%D1%80%D1%86%D0%B5%D0%B2"/>
				<updated>2019-10-25T13:34:41Z</updated>
		
		<summary type="html">&lt;p&gt;Старцев Никита: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
&lt;br /&gt;
[http://www.pro-schneider.ru/technical_support/technical_collection/ Техническая коллекция Шнайдер Электрик отдельные выпуски]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
machine vision&lt;br /&gt;
&lt;br /&gt;
image recognition&lt;br /&gt;
&lt;br /&gt;
[https://www.scopus.com/record/display.uri?eid=2-s2.0-85062213988&amp;amp;origin=resultslist&amp;amp;zone=contextBox Automated spectral feature extraction from hyperspectral images to differentiate weedy rice and barnyard grass from a rice crop]&lt;/div&gt;</summary>
		<author><name>Старцев Никита</name></author>	</entry>

	</feed>