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<Article>
<Journal>
				<PublisherName>University of Tehran Press</PublisherName>
				<JournalTitle>Iranian Journal of Biosystem Engineering</JournalTitle>
				<Issn>2008-4803</Issn>
				<Volume>47</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>01</Month>
					<Day>20</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Creation of two-dimensional greenhouse environment map using stereo vision</ArticleTitle>
<VernacularTitle>Creation of two-dimensional greenhouse environment map using stereo vision</VernacularTitle>
			<FirstPage>700</FirstPage>
			<LastPage>689</LastPage>
			<ELocationID EIdType="pii">60263</ELocationID>
			
<ELocationID EIdType="doi">10.22059/ijbse.2017.60263</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Amin</FirstName>
					<LastName>Nasiri</LastName>
<Affiliation></Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>09</Month>
					<Day>13</Day>
				</PubDate>
			</History>
		<Abstract>In this research for detection and separation cultivation platforms and flowerpots from each other, localization the corner of platforms and position of the flowerpots to form of two-dimensional point and creation two-dimensional map of greenhouse, used three-dimensional coordinates of environment components. Results obtained from this research, showed that the proposed algorithm can detect 100.26 m, on other hand, 94.05% of total length of platform. 83.33% of the corners of culture platforms with the average error of 0.09 meter and mean squared error of 0.009 meter were detected by the proposed algorithm. From the two-dimensional map of greenhouse was resulted that the proposed algorithm in this research has the detection capability and localization of 92.10% of the flowerpots with the average error of 0.07 meter and mean squared error of 0.006 meter.</Abstract>
			<OtherAbstract Language="FA">In this research for detection and separation cultivation platforms and flowerpots from each other, localization the corner of platforms and position of the flowerpots to form of two-dimensional point and creation two-dimensional map of greenhouse, used three-dimensional coordinates of environment components. Results obtained from this research, showed that the proposed algorithm can detect 100.26 m, on other hand, 94.05% of total length of platform. 83.33% of the corners of culture platforms with the average error of 0.09 meter and mean squared error of 0.009 meter were detected by the proposed algorithm. From the two-dimensional map of greenhouse was resulted that the proposed algorithm in this research has the detection capability and localization of 92.10% of the flowerpots with the average error of 0.07 meter and mean squared error of 0.006 meter.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Cultivation platform</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Pot</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Three-dimensional coordinates</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Visual odometry</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ijbse.ut.ac.ir/article_60263_b2e8c2cb7d1d7351ed0db9ad52a6b6ae.pdf</ArchiveCopySource>
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