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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/116937
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dc.contributor.authorLu, H.-
dc.contributor.authorCao, Z.-
dc.contributor.authorXiao, Y.-
dc.contributor.authorLi, Y.-
dc.contributor.authorZhu, Y.-
dc.date.issued2016-
dc.identifier.citationBiosystems Engineering, 2016; 147:139-150-
dc.identifier.issn1537-5110-
dc.identifier.urihttp://hdl.handle.net/2440/116937-
dc.description.abstractAbstract not available-
dc.description.statementofresponsibilityHao Lu, Zhiguo Cao, Yang Xiao, Yanan Li, Yanjun Zhu-
dc.language.isoen-
dc.publisherElsevier-
dc.rights© 2016 IAgrE. Published by Elsevier Ltd. All rights reserved.-
dc.source.urihttp://dx.doi.org/10.1016/j.biosystemseng.2016.04.007-
dc.subjectCrop segmentation; maize tassel; colour modelling; region proposals; neural networks-
dc.titleRegion-based colour modelling for joint crop and maize tassel segmentation-
dc.typeJournal article-
dc.identifier.doi10.1016/j.biosystemseng.2016.04.007-
pubs.publication-statusPublished-
dc.identifier.orcidLu, H. [0000-0003-3854-8664]-
Appears in Collections:Aurora harvest 8
Computer Science publications

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